Contact

Email Subbarao Kambhampati at rao {at} asu {dot} edu if you have any questions or need further information.

Media Coverage

For media coverage of our group's members and their research, see here.

Funding Acknowledgement

Much of this research has been supported by funding from NSF, NASA, DARPA, ARO, ONR, AFOSR, the State of Arizona as well as awards from IBM, Google and JP Morgan.

2024

1. Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o1
   Karthik Valmeekam, Kaya Stechly, Atharva Gundawar & Subbarao Kambhampati
   Preprint on Arxiv, October 2024.

2. Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach
   Atharva Gundawar, Karthik Valmeekam, Mudit Verma, Subbarao Kambhampati
   Preprint on ArXiv, November 2024.

3. LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench
   Karthik Valmeekam, Kaya Stechly, Subbarao Kambhampati
   Preprint on Arxiv, Sept 2024. NeurIPS 2024 Workshop on Open-World Agents. 2024. (Accepted)
   (Coverage in The Decoder, Coverage in Sina.com, Mentioned in Nature ( Editorial) (News Feature), Top paper in Alpha Signal Newsletter)

4. Algorithmic Language Models with Neurally Compiled Libraries.
   Lucas Saldyt and Subbarao Kambhampati.
   NeurIPS 2024 Workshop on System 2 Reasoning at Scale. 2024. (Accepted)

5. Efficient Reinforcement Learning via Large Language Model-based Search
   Siddhant Bhambri, Amrita Bhattacharjee, Huan Liu and Subbarao Kambhampati.
   NeurIPS 2024 Workshop on Open World Agents. 2024.

6. Do Think Tags Really Help LLMs Plan? A Critical Evaluation of ReACT Style Prompting
   Mudit Verma, Siddhant Bhambri and Subbarao Kambhampati.
   NeurIPS 2024 Workshop on Adaptive Foundation Models. 2024 (accepted)

7. Explain It As Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap.
   Sarath Sreedharan, Siddharth Srivastava and Subbarao Kambhampati.
   Artificial Intelligence. 2024. (Accepted).

8. A Game-Theoretic Model of Trust in Human Robot Teaming: Guiding Human Observation Strategy for Monitoring Robot Behavior.
   Zahra Zahedi, Sailik Sengupta and Subbarao Kambhampati.
   IEEE Transactions on Human-Machine Systems. 2024. (Accepted).

9. Chain of Thoughtlessness: An Analysis of CoT in Planning
   Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati
   NeurIPS 2024. (arXiv: https://arxiv.org/abs/2405.04776).
   (Coverage in Tech Talks)

10. "Task Success" is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors
    Lin Guan, Yifan Zhou, Denis Liu, Yantian Zha, Heni Ben Amor, Subbarao Kambhampati
    Conference on Language Modeling (COLM) 2024 (arxiv: https://arxiv.org/abs/2402.04210 )

11. LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
    Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy
    ICML 2024. (Accepted as Spotlight)

12. Can Large Language Models Reason and Plan?
    Subbarao Kambhampati
    Annals of New York Academy of Sciences. March 2024. (also available on Arxiv)

13. Planning with Mental Models – Balancing Explanations and Explicability
    Sarath Sreedharanan, Tathagata Chakraborti, Christian Muise, and Subbarao Kambhampati.
    Artificial Intelligence Journal. July 2024 (Accepted)

14. LLM-Modulo Frameworks as Compound AI Architectures for Robust Planning
    Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Siddhant Bhambri, Kaya Stechly, Lucas Saldyt, Atharva Gundawar
    Extended Abstract at Compound AI Systems Workshop
    Poster

15. On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks
    Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati
    Preprint https://arxiv.org/abs/2402.08115. February 2024.

16. Why didn't you allocate this task to them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation
    Zahra Zahedi, Sailik Sengupta & Subbarao Kambhampati.
    AAAI 2024.

17. Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
    Yantian Zha, Lin Guan & Subbrao Kambhampati.
    AAAI 2024.

18. Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?
    Mudit Verma*, Siddhant Bhambri*, & Subbarao Kambhampati
    HRI 2024

19. On the Pitfalls of Learning to Cooperate with Self Play Agents Checkpointed to Capture Humans of Diverse Skill Levels.
    Upasana Biswas, Lin Guan & Subbarao Kambhampati
    HRI 2024 (LBP)

2023

1. On the Planning Abilities of Large Language Models -- A Critical Investigation
   Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati.
   NeurIPS 2023. (Accepted as Spotlight) (earlier at KLR workshop at ICML 2023)

2. Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
   Lin Guan*, Karthik Valmeekam*, Sarath Sreedharan, Subbarao Kambhampati.
   NeurIPS 2023. (Accepted) (earlier at KLR workshop at ICML 2023)

3. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
   Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
   NeurIPS 2023. (Benchmark Track). (Accepted)

4. GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
   Kaya Stechly, Matthew Marquez and Subbrao Kambhampati.
   NeurIPS 2023 workshop on Foundation Models for Decision Making.
   Covered in 36Kr
5. Can Large Language Models Really Improve by Self-critiquing Their Own Plans?
   Karthik Valmeekam, Matthew Marquez and Subbarao Kambhampati
   NeurIPS 2023 workshop on Foundation Models for Decision Making.
   Covered in 36Kr
6. Preference Proxies: Evaluating Large Language Models in capturing Human Preferences in Human-AI Tasks
   Mudit Verma*, Siddhant Bhambri*, Subbarao Kambhampati.
   Workshop on Theory of Mind in Communicating Agents at ICML 2023
   Many Facets of Preference Learning workshop at ICML 2023

7. Exploiting Action Distances for Reward Learning from Human Preferences
   Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati.
   Many Facets of Preference Learning workshop at ICML 2023

8. Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models
   Daman Arora, Subbarao Kambhampati.
   KLR workshop at ICML 2023

9. A Mental Model Based Theory of Trust
   Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati.
   XAI workshop at IJCAI 2023

10. Generalizing Action Justification and Causal Links to Policies
    Sarath Sreedharan, Christian Muise, Subbarao Kambhampati.
    ICAPS 2023.

11. Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning
    Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati.
    R2HCAI workshop at AAAI 2023

12. A Mental-Model Centric Landscape of Human-AI Symbiosis
    Zahra Zahedi, Sarath Sreedharan and Subbarao Kambhampati.
    R2HCAI workshop at AAAI 2023

13. Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment
    Siddhant Bhambri, Purv Chauhan, Frederico Araujo, Adam Doupé, and Subbarao Kambhampati.
    AICS workshop at AAAI 2023
    

14. Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
    Lin Guan, Karthik Valmeekam & Subbarao Kambhampati.
    ICLR 2023

15. Explicable or Optimal: Trust Aware Planning in Iterated Human Robot Interaction
    Zahra Zahedi, Sarath Sreedharan, Karthik Valmeekam and Subbarao Kambhampati.
    Accepted as a stand-alone video at ICRA 2023

16. Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction
    Zahra Zahedi, Mudit Verma, Sarath Sreedharan & Subbarao Kambhampati.
    HRI 2023.
    

17. Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation
    Zahra Zahedi, Sailik Sengupta & Subbarao Kambhampati
    AAMAS 2023 (Extended Abstract)
    

18. Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
    Tung Thai, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Subbarao Kambhampati, Neeraj Varshney, Chitta Baral, Jivko Sinapov, Matthias Scheutz.
    AAMAS 2023. (Extended Abstract)

2022

1. Explainable Human-AI Interaction: A Planning Perspective.
   Sarath Sreedharan, Anagha Kulkarni and Subbarao Kambhampati.
   Morgan & Claypool Publishers. (184 Pages). DOI: 10.2200/S01152ED1V01Y202111AIM050 ISBN: 9781636392899.
   

2. Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion
   Utkarsh Soni, Sarath Sreedharan, Mudit Verma, Lin Guan, Matthew Marquez, Subbarao Kambhampati
   Workshop on Human in the Loop Learning, NeurIPS 2022

3. Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
   Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
   Workshop on Human in the Loop Learning, NeurIPS 2022

4. Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop
   Mudit Verma, Ayush Kharkwal, Subbarao Kambhampati
   Workshop on Human in the Loop Learning, NeurIPS 2022
   IROS RLCONFORM 2022 (Video)

5. Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment
   Siddhant Bhambri, Purv Chauhan, Frederico Araujo, Adam Doupé, and Subbarao Kambhampati.
   GameSec 2022 - Conference on Decision and Game Theory for Security
   

6. Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters
   Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, HaiWan and SubbaraoKambhampati.
   Artificial Intelligence. 2022. (DOI).
7. Changing the nature of AI research
   Subabrao Kambhampati
   Communications of the ACM 65 (9), 8-9
8. Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
   Lin Guan*, Sarath Sreedharan* & Subbarao Kambhampati
   ICML 2022 Paper Webage
   (Best Paper award at Bridging Planning & RL workshop at ICAPS 2022)
   

9. Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change)
   Karthik Valmeekam, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
   Workshop on Foundations Models for Decision Making, NeurIPS 2022.
   (Press coverage in Next Web and Tech Talks)

10. Computing Policies That Account for the Effects of Human Uncertainty During Execution in Markov Decision Processes
    Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati
    ICAPS Workshop on Explainable AI Planning (XAIP) 2022
    

11. Why Did You Do That? Generalizing Causal Link Explanations to Fully Observable Non-Deterministic Planning Problems
    Sarath Sreedharan, Christian Muise, Subbarao Kambhampati
    ICAPS Workshop on Explainable AI Planning (XAIP) 2022
    

12. On the Computational Complexity of Model Reconcilation
    Sarath Sreedharan, Pascal Bercher & Subbarao Kambhampati
    IJCAI 2022.
    

13. RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions
    Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta & Subbarao Kambhampati
    ICAPS 2022.

14. Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
    Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava and Subbarao Kambhampati.
    ICLR 2022. Video
    

15. Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
    Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan
    AAAI 2022 (Blue Sky Track)
    

16. Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
    Yantian Zha, Lin Guan and Subbarao Kambhampati
    AAAI 2022 Workshop on Reinforcemen Learning in Games.

17. Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Face Lenses
    Niharika Jain, Alberto Olmo, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati.
    Artificial Intelligence Journal, 2021.
    Mentioned in New York Times

18. Minimizing Robot Navigation Graph For Position-Based Predictability By Humans
    Sriram Gopalakrishnan & Subbarao Kambhampati.
    AAMAS 2022 (Extended Abstract)

19. Modeling the interplay between human trust and monitoring
    Zahra Zahedi, Sarath Sreedharan, Mudit Verma and Subbarao Kambhampati.
    HRI 2022 (Late breaking paper)

2021

1. Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation.
   Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati
   NeurIPS 2021 (Spotlight) Paper Webage.

2. Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
   Yantian Zha, Lin Guan, Subbarao Kambhampati
   ArXiv
   

3. Game-theoretic Model of Trust to Infer Human’s Observation Strategy of Robot Behavior
   Sailik Sengupta*, Zahra Zahedi*, Subbarao Kambhampati
   R4P workshop RSS'21
   

4. Planning for Proactive Assistance in Environments with Partial Observability
   Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
   XAIP Workshop ICAPS'21
   

5. Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver
   Sriram Gopalakrishnan*, Utkarsh Soni*, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati
   IntEx Workshop ICAPS'21
   

6. Leveraging PDDL to Make Inscrutable Agents Interpretable: A Case for Post Hoc Symbolic Explanations for Sequential-Decision Making Problems
   Sarath Sreedharan, Subbarao Kambhampati
   XAIP Workshop ICAPS'21
   

7. Synthesizing Policies That Account For Human Execution Errors Caused By State Aliasing In Markov Decision Processes
   Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati
   XAIP Workshop ICAPS'21
   

8. Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction
   Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati
   PlanRob Workshop, XAIP Workshop ICAPS'21
   

9. Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping
   Yantian Zha, Siddhant Bhambri, Lin Guan
   IROS'21
   

10. Not all users are the same: Providing personalized explanations for sequential decision making problems
    Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati
    IROS'21 and XAIP Workshop ICAPS'21
    

11. GPT3-to-plan: Extracting plans from text using GPT-3
    Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
    ICAPS 2021 Workshop on KEPS and ICAPS 2021 Workshop on Planning for Financial Services. 2021.
    

12. A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction
    Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati
    IJCAI 2021
    

13. Using State Abstractions to Compute Personalized Contrastive Explanations for AI Agent Behavior
    Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
    Artificial Intelligence Journal
    

14. Foundations of Explanations as Model Reconciliation
    Sarath Sreedharan*, Tathagata Chakraborti*, Subbarao Kambhampati
    Artificial Intelligence Journal
    

15. Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data
    Niharika Jain, Alberto Olmo, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati
    SDG Workshop ICLR'21(Paper)
    

16. RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions
    Valmeekam Karhik, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
    AAAI'21 Demonstrations Program (Demo Paper)(Video)
    XAIP-ICAPS'20 (Paper)
    

17. Polanyi's Revenge & AI's new romance with tacit knowledge (PDF version) (Online version)
    Subbarao Kambhampati
    Communications of ACM (CACM), February 2021, Vol. 64 No. 2, Pages 31-32.
    

18. Software Deception Steering through Version Emulation
    Frederico Araujo, Sailik Sengupta, Jiyong Jang, Adam Doupé, Kevin Hamlen and Subbarao Kambhampati
    HICSS, 2021
    

2020

1. `Why didn't you allocate this task to them? 'Negotiation-aware Task Allocation and Contrastive Explanation Generation
   Zahra Zahedi*, Sailik Sengupta* and Subbarao Kambhampati
   NeurIPS Workshop on Cooperative AI, 2020
   

2. Learning Movement Policies in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense
   Sailik Sengupta, Subbarao Kambhampati
   NeurIPS Workshop on Real-world Reinforcement Learning, 2020
   

3. Challenges of Human-Aware AI Systems
   Subbarao Kambhampati
   AI Magazine, Vol. 41 No. 3, Fall 2020 (Video of the accompanying talk available here.)
   

4. Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments
   Sailik Sengupta, Kaustav Basu, Arunabha Sen and Subbarao Kambhampati
   GameSec 2020.

5. Designing Environments Conducive to Interpretable Robot Behavior
   Anagha Kulkarni*, Sarath Sreedharan*, Sarah Keren,Tathagata Chakraborti, David Smith and Subbarao Kambhampati
   IROS, 2020

6. The Emerging Landscape of Explainable AI Planning and Decision Making
   Tathagata Chakraborti, Sarath Sreedharan and Subbarao Kambhampati
   IJCAI, 2020
   

7. TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions
   Sarath Sreedharan, Siddharth Srivastava and Subbarao Kambhampati
   ICAPS, 2020
   

8. D3WA+: A Case Study of XAIP in a Model Acquisition Task
   Sarath Sreedharan*, Tathagata Chakraborti*, Christian Muise, Yasaman Khazaeni and Subbarao Kambhampati
   ICAPS, 2020 (Best System Demonstration Award)
   

9. A Survey of Moving Target Defenses for Network Security
   Sailik Sengupta*, Ankur Chowdhary*, Abdulhakim Sabur, Dijiang Huang, Adel Alshamrani and Subbarao Kambhampati
   IEEE Communications Surveys and Tutorials, 2020
   

10. RADAR: Automated Task Planning for Proactive Decision Support
    Sachin Grover, Sailik Sengupta, Tathagata Chakraborti, Aditya Prasad Mishra and Subbarao Kambhampati
    HCI Journal (Special Issue on Unifying Human Computer Interaction and Artificial Intelligence), 2020
    

11. Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility
    Anagha Kulkarni, Siddharth Srivastava and Subbarao Kambhampati
    AAMAS (Extended Abstract), 2020
    

12. Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning
    Sarath Sreedharan, Tathagata Chakraborti, Christian Muise and Subbarao Kambhampati
    AAAI, 2020
    

13. RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions
    Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta and Subbarao Kambhampati
    ICAPS Workshop on Explainable AI Planning (XAIP), 2020
    

14. Model Minimization For Online Predictability
    Sriram Gopalakrishnan and Subbarao Kambhampati
    ICAPS Workshop on Explainable AI Planning (XAIP), 2020
    

15. Model Elicitation through Direct Questioning
    Sachin Grover, David Smith and Subbarao Kambhampati
    ICAPS Workshop on Explainable AI Planning (XAIP), 2020
    

16. A Bayesian Account of Measures of Interpretability in Human-AI Interaction
    Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, David Smith and Subbarao Kambhampati
    ICAPS Workshop on Explainable AI Planning (XAIP), 2020
    

17. Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification
    Alberto Olmo*, Sailik Sengupta*, Subbarao Kambhampati
    ICML Workshop(s) on Uncertainty & Robustness in Deep Learning (UDL) and Human-in-the-loop Learning (HILL), 2020
    Poster UDL version

18. Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
    Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati
    ICML Workshop on Human-in-the-loop Learning (HILL), 2020
    Poster

19. Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning
    Lin Guan*, Mudit Verma*, Subbarao Kambhampati
    ICML Workshop on Human-in-the-loop Learning (HILL), 2020
    Poster

2019

1. TGE-viz : Mixed Initiative Plan Visualization
   Sriram Gopalakrishnan, and Subbarao Kambhampati
   System Demo at ICAPS 2019
   

2. Discovering Underlying Plans Based on Shallow Models
   Hankz Hankui Zhao, Yantian Zha, Subbarao Kambhampati, Xin Tian
   ACM TIST, 2019.
   

3. General Sum Markov Games for Strategic Detection of Advanced Persistent Threats Using Moving Target Defense in Cloud Networks
   Sailik Sengupta, Ankur Chowdhary, Dijiang Huang, Subbarao Kambhampati
   GameSec, 2019.
   

4. MTDeep: Moving Target Defense to Boost the Security of Deep Neural Nets Against Adversarial Attacks
   Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati
   GameSec, 2019.
   

5. Model-Free Model Reconciliation
   Sarath Sreedharan, Alberto Olmo, Aditya Prasad Mishra, Subbarao Kambhampati
   IJCAI, 2019.
   Must Read suggestion by arXiv Daily

6. Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks
   Sarath Sreedharan, Siddharth Srivastava, David Smith, Subbarao Kambhampati
   IJCAI, 2019.

7. Balancing Explicability and Explanations for Human-Aware Planning
   Tathagata Chakraborti*, Sarath Sreedharan*, Subbarao Kambhampati
   IJCAI, 2019.

8. iPass: A Case Study of the Effectiveness of Automated Planning for Decision Support
   Sachin Grover, Sailik Sengupta, Tathagata Chakraborti, Aditya Prasad Mishra, Subbarao Kambhampati
   NDM, 2019.
   Poster

9. CAP: A Decision Support System for Crew Scheduling using Automated Planning
   Aditya Prasad Mishra, Sailik Sengupta, Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati
   NDM, 2019.
   Poster

10. Synthesizing Explainable Behavior for Human-AI Collaboration
    Subbarao Kambhampati
    AAMAS (Invited Talk), 2019.

11. Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior
    Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David E. Smith, Subbarao Kambhampati
    ICAPS, 2019.

12. Explicability as Minimizing Distance from Expected Behavior
    Anagha Kulkarni, Yantian Zha, Tathagata Chakrabarti, Satya Gautam Vadlamudi, Yu Zhang and Subbarao Kambhampati
    AAMAS (Extended Abstract), 2019.

13. A Unified Framework for Planning in Adversarial and Cooperative Environments
    Anagha Kulkarni, Siddharth Srivastava and Subbarao Kambhampati
    AAAI, 2019. (Also presented at ICAPS 2018 Workshop on Planning and Robotics.)

14. Plan Explanations as Model Reconciliation – An Empirical Study
    Tathagata Chakraborti*, Sarath Sreedharan*, Sachin Grover, Subbarao Kambhampati
    HRI, 2019.

15. (When) Can AI Bots Lie?
    Tathagata Chakraborti and Subbarao Kambhampati
    AAAI/ACM Conference of Artificial Intelligence, Ethics, and Society (AIES), 2019.
    ACM Media Center ASU Now

16. (How) Can AI Bots Lie?
    Tathagata Chakraborti and Subbarao Kambhampati
    ICAPS Workshop on Explainable Planning (XAIP), 2019.

17. Design for Interpretability
    Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
    ICAPS Workshop on Explainable Planning (XAIP), 2019.

18. A General Framework for Synthesizing and Executing Self-Explaining Plans for Human-AI Interaction
    Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati
    ICAPS Workshop on Explainable Planning (XAIP), 2019
    ACM Media Center ASU Now

19. To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust
    Sailik Sengupta*, Zahra Zahedi*, Subbarao Kambhampati
    21st International Workshop on Trust in Agent Societies (co-located with AAMAS), 2019

20. Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks
    Ankur Chowdhary*, Sailik Sengupta*, Dijiang Huang, Subbarao Kambhampati
    Aritificial Intelligence for Cyber Security Workshop (AICS) at AAAI, 2019.
    Must Read suggestion by arXiv Daily

21. Plan-Recognition-Driven Attention Modeling for Visual Recognition
    Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li
    Workshop on Plan, Activity, and Intent Recognition at AAAI, 2019.

22. Towards Understanding User Preferences for Explanation Types in Model Reconciliation
    Zahra Zahedi, Alberto Olmo, Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
    HRI Late Breaking Report, 2019.

23. A Survey of Moving Target Defenses for Network Security
    Sailik Sengupta, Ankur Chowdhary, Abdulhakim Sabur, Dijiang Huang, Adel Alshamrani, Subbarao Kambhampati
    ArXiv, 2019.

24. Planning and Visualization for a Smart Meeting Room Assistant -- A Case Study in the Cognitive Environments Laboratory at IBM T.J. Waston Research Center, Yorktown.
    Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy.
    AI Communications 2019.

25. The Reality Virtuality Cube of Interaction
    Tom Williams, Dan Szafir, Tathagata Chakraborti
    HRI 2019 Late Breaking Report and VAM-HRI 2019.

2018

1. #metoo Through the Lens of Social Media
   Lydia Manikonda, Ghazaleh Beigi, Subbarao Kambhampati, Huan Liu
   International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) 2018.

2. Moving Target Defense for the Placement of Intrusion Detection Systems in the Cloud
   Sailik Sengupta, Ankur Chowdhary, Dijiang Huang, Subbarao Kambhampati
   GameSec 2018. [slides]

3. Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations
   Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
   IJCAI 2018. Also appeared in ICAPS 2018 Workshop on Explainable AI Planning (XAIP) [paper].

4. Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
   Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati
   IJCAI 2018.

5. Tweeting AI: Perceptions of Lay vs. Expert Twitterati
   Lydia Manikonda and Subbarao Kambhampati
   ICWSM 2018.

6. Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases
   Niharika Jain, Lydia Manikonda, Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati
   ArXiv:1811.03751, 2018

7. Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation
   Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati
   ICAPS 2018 (Robotics Track).

8. Recognizing Plans by Learning Embeddings from Observed Action Distributions
   Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati
   AAMAS 2018 (Extended Abstract). Also appeared in the ICML / IJCAI / AAMAS 2018 Workshop on Planning and Learning (PAL-18)

9. Projection-Aware Task Planning and Execution for Human-in-the-Loop Operation of Robots in a Mixed-Reality Workspace
   Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati
   IROS 2018. Also appeared in HRI 2018 Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction (VAM-HRI)

10. Balancing Explicability and Explanations: Emergent Behaviors in Human-Aware Planning
    Tathagata Chakraborti*, Sarath Sreedharan*, Subbarao Kambhampati
    AAMAS 2018 (Extended Abstract)

11. What’s up with Privacy?: User Preferences and Privacy Concerns in Intelligent Personal Assistants
    Lydia Manikonda, Aditya Deotale, Subbarao Kambhampati.
    AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES) 2018
    Winner of FURI Best Poster Award Featured in The Arizona State Press

12. MA-RADAR - A Mixed-Reality Interface for Collaborative Decision Making
    Sailik Sengupta*, Tathagata Chakraborti*, Subbarao Kambhampati
    ICAPS 2018 Workshop on User Interfaces for Scheduling and Planning (UISP)
    ICAPS 2018 System Demonstration

13. Investigation of Bounded Misclassification for Operational Security of Deep Neural Networks
    Sailik Sengupta, Andrew Dudley, Tathagata Chakraborti, Subbarao Kambhampati
    AAAI'18 Workshop on Engineering Dependable and Secure Machine Learning Systems

14. MTDeep - Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
    Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati
    AAAI'18 Workshop on Engineering Dependable and Secure Machine Learning Systems

15. Discovering Underlying Plans Based on Shallow Models
    Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati
    ArXiv:1803.02208, 2018 (Under review)

16. Plan Explanations as Model Reconciliation – An Empirical Study
    Tathagata Chakraborti*, Sarath Sreedharan*, Sachin Grover, Subbarao Kambhampati
    ArXiv:1802.01013, 2018

17. Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration
    Tathagata Chakraborti and Subbarao Kambhampati
    ArXiv:1801.09854, 2018
    Featured on ZDNet

18. Explicability as Minimizing Distance from Expected Behavior
    Anagha Kulkarni, Yantian Zha, Tathagata Chakraborti, Satya Gautam Vadlamudi, Yu Zhang, Subbarao Kambhampati
    ICAPS 2018 Workshop on Explainable AI Planning (XAIP)

19. What can Automated Planning do for Intelligent Tutoring Systems?
    Sachin Grover*, Tathagata Chakraborti*, Subbarao Kambhampati
    ICAPS 2018 Scheduling and Planning Applications Workshop (SPARK)

20. Human-Aware Planning Revisited: A Tale of Three Models
    Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
    ICAPS 2018 Workshop on Explainable AI Planning (XAIP)

21. v2v Communication for Augmenting Reality Enabled Smart HUDs to Increase Situational Awareness of Drivers
    Andrew Dudley*, Tathagata Chakraborti*, Subbarao Kambhampati
    HRI 2018 Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction (VAM-HRI)

22. Visualizations for an Explainable Planning Agent
    Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy
    ICAPS 2018 XAIP / UISP Workshops + ICAPS/IJCAI Systems Demo Track
    Runner-up for the "People's Choice Award" for the best System Demonstration at ICAPS 2018!

23. User Interfaces and Scheduling and Planning: Workshop Summary and Proposed Challenges
    Richard G. Freedman, Tathagata Chakraborti, Kartik Talamadupula, Daniele Magazzeni and Jeremy D. Frank
    AAAI 2018 Spring Symposium on The Design of the User Experience for Artificial Intelligence (the UX of AI)

24. Proceedings of the Inaugural HRI 2018 Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction (VAM-HRI)
    Tom Williams, Daniel Szafir, Tathagata Chakraborti and Heni Ben Amor

25. The 1st International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction.
    Tom Williams, Daniel Szafir, Tathagata Chakraborti, Heni Ben Amor.
    AI Magazine.
    

26. Virtual, Augmented and Mixed Reality for Human-Robot Interaction
    Tom Williams, Daniel Szafir, Tathagata Chakraborti and Heni Ben Amor.
    Companion to Proceedings of HRI 2018.

2017

1. Architectural Mechanisms for Handling Human Instructions for Open-World Mixed-Initiative Team Tasks and Goals.
   Kartik Talamadupula, Gordon Briggs, Matthias Scheutz and Subbarao Kambhampati
   Advances in Cognitive Systems, 2017.

2. AI Challenges in Human-Robot Cognitive Teaming
   Tathagata Chakraborti, Subbarao Kambhampati, Matthias Scheutz, Yu Zhang
   ArXiv 1707.04775, July 2017

3. Balancing Explicability and Explanation in Human-Aware Planning
   Sarath Sreedharan*, Tathagata Chakraborti* and Subbarao Kambhampati
   AAAI 2017 Fall Symposium on Artificial Intelligence for Human-Robot Interaction (AI-for-HRI).

4. Explanations as Model Reconciliation - A Mutli-Agent Perspective
   Sarath Sreedharan*, Tathagata Chakraborti* and Subbarao Kambhampati
   AAAI 2017 Fall Symposium on Human-Agent Groups: Studies, Algorithms and Challenges.

5. RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning
   Sailik Sengupta, Tathagata Chakraborti, Sarath Sreedharan, Satya Gautam Vadlamudi and Subbarao Kambhampati
   AAAI 2017 Fall Symposium on Human-Agent Groups: Studies, Algorithms and Challenges.
   (Also presented at the ICAPS Workshop on User Interfaces for Scheduling and Planning (UISP) 2017).

6. Extracting Incomplete Planning Action Models from Unstructured Social Media Data to Support Decision Making
   Lydia Manikonda, Shirin Sohrabi, Biplav Srivastava, Kartik Talamadupula, Subbarao Kambhampati
   Workshop on Knowledge Engineering for Planning and Scheduling, ICAPS, 2017

7. Tweeting AI: Perceptions of AI-Tweeters (AIT) vs Expert AI-Tweeters (EAIT) .
   Lydia Manikonda, Cameron Dudley & Subbarao Kambhampati.
   Arxiv 1704.08389. April 2017.
   NetworkWorld: "Tech majority disagrees with AI warnings from Hawkings, Musk and Gates" Mention in Technology Review Best of the Physic Arxiv

8. Alternative Modes of Interaction in Proximal Human-in-the-Loop Operation of Robots.
   Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati.
   Arxiv 1703.08930. March 2017.
   Coverage: Full Circle Cronkite News ASU Now

9. Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
   Tathagata Chakraborti*, Sarath Sreedharan*, Yu Zhang and Subbarao Kambhampati
   IJCAI, 2017.

10. A Game Theoretic Approach in Strategy Generation for Moving Target Defense in Web Applications
    Sailik Sengupta, Satya Gautam Vadlamudi, Subbarao Kambhampati, Adam Doupé, Marthony Taguinod, Ziming Zhao and Gail-Joon Ahn
    AAMAS 2017 (talk video).

11. Plan Explicability and Predictability for Robot Task Planning.
    Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, Subbarao Kambhampati.
    ICRA 2017.

12. Explicability as Minimizing Distance from Expected Behavior
    Anagha Kulkarni, Yantian Zha, Tathagata Chakraborti, Satya Gautam Vadlamudi, Yu Zhang, Subbarao Kambhampati.
    arXiv 1611.05497. Dec 2017.

13. UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS
    Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati
    AAAI/IAAI, 2017 (talk video).
14. Robust planning with incomplete domain models.
    Tuan Nguyen, Subbarao Kambhampati and Sarath Sreedharan.
    Artificial Intelligence, 2017.

15. Model-Lite Planning: Case-Based vs. Model-Based Approaches.
    Hankz Hankui Zhuo and Subbarao Kambhampati.
    Artificial Intelligence, 2017.

16. Herding the Crowd: Using Automated Planning for Better Crowdsourced Planning.
    Lydia Manikonda, Tathagata Chakraborti, Kartik Talamadupula & Subbarao Kambhampati.
    Human Computation Journal Vol. 4. No. 1. pp: 25-46. 2017

17. An ROS-based Shared Communication Middleware for Plug & Play Modular Intelligent Design of Smart Systems
    Tathagata Chakraborti, Siddharth Srivastava, Alessandro Pinto, Subbarao Kambhampati
    ArXiv:1706.01133, 2017

18. Mr. Jones - Towards a Proactive Smart Room Orchestrator
    Tathagata Chakraborti, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart and Rachel K.E. Bellamy
    AAAI 2017 Fall Symposium on Human-Agent Groups

19. Proceedings of the AAMAS 2017 Workshop on Multiagent Interaction without Prior Coordination (MIPC)
    Tathagata Chakraborti, Katie Genter, Trevor Santarra

2016

0. Proceedings of the 25th Intl. Joint Conference on Artificial Intelligence
   Edited by Subbarao Kambhampati.
   (Video & Slides of Program Chair opening remarks at the conference).

1. BayesWipe: A Scalable Probabilistic Framework for Improving Data Quality
   Sushovan De, Yuheng Hu, Venkata Vamsikrishna Meduri, Yi Chen and Subbarao Kambhampati
   Journal of Data and Information Quality. Special Issue on Web Data Quality. 2016. (Accepted).

2. Plan explicability for robot task planning
   Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo and Subbarao Kambhampati
   RSS Workshop on Planning for Human-Robot Interaction, 2016. (Slides from the AIJ Student Award spotlight talk by Anagha)

3. Discovering Underlying Plans Based on Distributed Representations of Actions.
   Xin Tian, Hankz Hankui Zhuo and Subbarao Kambhampati.
   AAMAS 2016 Nominated for AAMAS 2016 Best Student Paper Award (Video of the talk)

4. Compliant Conditions for Polynomial Time Approximation of Operator Counts
   Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, and Subbarao Kambhampati.
   Symposium on Combinatorial Search (SOCS), 2016.

5. Tweeting the Mind and Instagramming the Heart: Exploring Differentiated Content Sharing on Social Media.
   Lydia Manikonda, Vamsi Meduri & Subbarao Kambhampati
   ICWSM 2016.

   DerStandard Footwear News (FN) Tirto

6. A Formal Analysis of Required Cooperation in Multi-agent Planning
   Yu Zhang, Sarath Sreedharan & Subbarao Kambhampati
   ICAPS 2016. (Slides from the talk given by Sarath)

7. Planning with Resource Conflicts in Human-Robot Cohabitation
   Tathagata Chakraborti, Yu Zhang, Subbarao Kambhampati.
   AAMAS 2016.

8. Moving Target Defense For Web Applications Using Bayesian Stackelberg Games
   Satya Gautam Vadlamudi, Sailik Sengupta, Subbarao Kambhampati, Marthony Taguinod, Ziming Zhao, Adam Doupi, Gail-Joon Ahn
   AAMAS 2016 (Full version available as arxiv1602.07024)

9. A Combinatorial Search Perspective on Diverse Solution Generation
   Satya Gautam Vadlamudi & Subbarao Kambhampati
   AAAI 2016

10. A Formal Framework for Studying Interaction in Human-Robot Societies
    Tathagata Chakraborti, Kartik Talamadupula, Yu Zhang & Subbarao Kambhampati
    AAAI 2016 Workshop on Symbiotic Cognitive Systems.

11. A Game Theoretic Approach to Ad-hoc Coalitions in Human-Robot Societies
    Tathagata Chakraborti, Venkata Vamsikrishna Meduri, Vivek Dondeti & Subbarao Kambhampati
    AAAI 2016 Workshop on Multiagent Interaction without Prior Coordination.

12. Venting Weight: Analyzing the Discourse of an Online Weight Loss Forum
    Lydia Manikonda, Heather Pon-Barry, Subbarao Kambhampati1, Eric Hekler & David W. McDonald
    AAAI 2016 Workshop on World Wide Web and Population Health Intelligence

13. Trending Chic: Analyzing the Influence of Social Media on Fashion Brands
    Lydia Manikonda, Ragav Venkatesan, Subbarao Kambhampati, Baoxin Li
    Preprint. arXiv:1512.01174.

14. Plan Explicability and Predictability for Robot Task Planning
    Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, Subbarao Kambhampati
    Preprint. arXiv:1511.08158.

15. Proactive Decision Support using Automated Planning
    Satya Gautam Vadlamudi, Tathagata Chakraborti, Yu Zhang, Subbarao Kambhampati.
    Preprint. arXiv:1606.07841.

2015

1. Planning for Serendipity.
   Tathagata Chakraborti, Gordon Briggs, Kartik Talamadupula, Yu Zhang, Matthias Scheutz, David Smith and Subbarao Kambhampati
   IROS 2015

2. A Human Factors Analysis of Proactive Assistance in Human-robot Teaming.
   Yu (Tony) Zhang, Vignesh Narayanan, Tathagata Chakraborti & Subbarao Kambhampati.
   IROS 2015.

3. Acquiring Planning Knowledge via Crowdsourcing
   Jie Gao, Hankz Hankui Zhuo, Subbarao Kambhampati and Lei Li.
   HCOMP 2015 (poster)

4. TweetSense: Context Recovery for Orphan Tweets by Exploiting Social Signals in Twitter
   Manikandan Vijayakumar, Tejas Mallapura Umamaheshwar, Kartik Talamadupula and Subbarao Kambhampati
   WebScience 2015. (Here is a longer version of the paper)

5. Inferring Sentiment fromWeb Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach
   Yilin Wang, Yuheng Hu, Subbarao Kambhampati and Baoxin Li
   ICWSM 2015

6. Click Efficiency: A Unified Optimal Ranking for Online Ads and Documents.
   Raju Balakrishnan and Subbarao Kambhampati
   Journal of Intelligent Information Systems 2015.

7. Planning with Stochastic Resource Profiles: An Application to Human-Robot Co-habitation.
   Tathagata Chakraborti; Yu Zhang; David Smith; and Subbarao Kambhampati.
   ICAPS Workshop on Planning and Robotics (PlanRob) 2015.

8. Planning for Serendipity -- Altruism in Human-Robot Cohabitation.
   Tathagata Chakraborti, Gordon Briggs, Kartik Talamadupula, Matthias Scheutz, David Smith and Subbarao Kambhampati.
   ICAPS Workshop on Planning and Robotics (PlanRob) 2015.

9. Capability Models and their application in Multi-agent planning.
   Yu Zhang, Sarath Sreedharan and Subbarao Kambhampati.
   AAMAS 2015. talk slides talk audio (Starts at 50sec)

10. Automated Planning for Peer-to-peer Teaming and its Evaluation in Remote Human-Robot Interaction
    Vignesh Narayanan, Yu Zhang, Nathaniel Mendoza and Subbarao Kambhampati.
    10th ACM/IEEE Intl. Conf on Human Robot Interaction (HRI), 2015.

2014

1. What We Instagram: A First Analysis of Instagram Photo Content and User Types
   Yuheng Hu, Lydia Manikonda & Subbarao Kambhampati
   ICWSM 2014. (Poster displayed at the conference)
   A companion study (under review) A WIRED article A writeup on abcnews
   (Link to an Instagram Photo Contest that uses the categorization developed in this paper)
   (Coverage on a marketing research blog)

2. BayesWipe: A Multimodal System for Data Cleaning and Consistent Query Answering on Structured Data
   Sushovan De, Yuheng Hu, Yi Chen, and Subbarao Kambhampati
   IEEE BigData 2014.

3. Coordination in Human-Robot Teams Using Mental Modeling and Plan Recognition
   Kartik Talamadupula, Gordon Briggs, Tathagata Chakraborti, Matthias Scheutz and Subbarao Kambhampati
   IROS 2014

4. What's Hot in Planning: Human-Aware and Human-in-the-Loop Planning and Decision Support. A brief talk on the core & (one) fringe of ICAPS
   Subbarao Kambhampati.
   AAAI 2014 (Talk given at the "What's Hot" Track)

5. Surrogate Search As a Way to Combat Harmful Effects of Ill-behaved Evaluation Functions
   William Cushing , J. Benton, Patrick Eyerich and Subbarao Kambhampati
   ARXIV 1411.0156 (Technical Report)

6. AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans
   Lydia Manikonda, Tathagata Chakraborti, Sushovan De, Kartik Talamadupula and Subbarao Kambhampati
   AAAI/IAAI 2014. (A version also presented at ICAPS SPARK 2014).
   Winner of the "People's Choice Award" for the best System Demonstration at ICAPS 2014! (AAAI talk video on Youtube)

7. A Heuristic Approach to Planning with Incomplete STRIPS Action Models.
   Tuan Nguyen & Subbarao Kambhampati.
   ICAPS 2014

8. A Formal Analysis of Required Cooperation in Multi-agent Planning
   Yu Zhang & Subbarao Kambhampati
   ICAPS Workshop on Distributed Multi-Agent Planning (DMAP), 2014. (Also arxiv report 1404.5643)

9. Easychair as a Pedagogical Tool Engaging Graduate Students in the Reviewing Process.
   Kartik Talamadupula & Subbarao Kambhampati.
   EAAI 2014 (Talk video on youtube)

10. Discourse Analysis of User Forums in an Online Weight Loss Application
    Lydia Manikonda, Heather Pon-Barry, Subbarao Kambhampati, Eric Hekler & David W. McDonald.
    ACL 2014 Joint Workshop on Social Dynamics and Personal Attributes.

11. BayesWipe: A Multimodal System for Data Cleaning and Consistent Query Answering on Structured Data
    Sushovan De, Yuheng Hu, Yi Chen & Subbarao Kambhampati.
    SIGMOD 2014 Workshop on Big Uncertain Data (BUDA). 2014

12. Coalition Coordination for Tightly Coupled Multirobot Tasks with Sensor Constraints
    Yu (Tony) Zhang, Lynne Parker & Subbarao Kambhampati
    ICRA 2014

13. The Metrics Matter! On the Incompatibility of Different Flavors of Replanning
    Kartik Talamadupula, David E. Smith, Subbarao Kambhampati
    Technical Report arXiv:1405.2883

2013

1. Synthesizing Robust Plans Under Incomplete Domain Models.
   Tuan Nguyen, Subbarao Kambhampati & Minh B. Do.
   NIPS 2013.

2. Architectural Mechanisms for Handling Human Instructions in Open-World Mixed-Initiative Team Tasks
   Kartik Talamadupula, Gordon Briggs, Matthias Scheutz & Subbarao Kambhampati
   Advances in Cognitive Systems, ACS, 2013.

3. Herding the Crowd: Automated Planning for Crowdsourced Planning.
   Kartik Talamadupula & Subbarao Kambhampati
   HCOMP 2013 (Longer version in Technical Report. Arxiv 1307.7720)

4. Bayes Networks for Supporting Query Processing Over Incomplete Autonomous Databases
   Rohit Raghunathan, Sushovan De, Subbarao Kambhampati.
   Journal of Intelligent Information Systems. 2013. (Accepted)

5. RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement
   Srijith Ravikumar, Kartik Talamadupula, Raju Balakrishnan \& Subbarao Kambhampati.
   CIKM 2013. (longer version available as an arxiv technical report 1308.2354)

6. RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement
   Srijith Ravikumar, Kartik Talamadupula, Raju Balakrishnan \& Subbarao Kambhampati.
   AAAI 2013 (Late-breaking paper) (Talk Video (Youtube))

7. On the Many Interacting Flavors of Planning for Robotics
   Kartik Talamadupula, Matthias Scheutz, Gordon Briggs, and Subbarao Kambhampati.
   ICAPS 2013 Workshop on Planning and Robotics. 2013

8. A Theory of Intra-Agent Replanning
   Kartik Talamadupula, David Smith, William Cushing and Subbarao Kambhampati
   ICAPS 2013 Workshop on Distributed and Multi-Agent Planning. 2013

9. Listening to the Crowd: Automated Analysis of Live Events via Aggregated Twitter Sentiment.
   Yuheng Hu, Fei Wang & Subbarao Kambhampati.
   IJCAI 2013. (Talk Video) (an article in ASU News; an interview on AZ PBS Horizon show)

10. Action Model Acquisition from Noisy Plan Traces.
    Hankz Hankui Zhuo, Subbarao Kambhampati.
    IJCAI 2013. (Talk Video)

11. Refining Incomplete Domain Models through Plan Traces.
    Hankz Hankui Zhuo, Tuan Nguyen and Subbarao Kambhampati.
    IJCAI 2013.

12. Model-Lite Case-Based Planning
    Hankz Hankui Zhuo, Subbarao Kambhampati, Tuan Nguyen.
    AAAI 2013. (Talk Video (youtube))

13. Dude, srsly?: The Surprisingly Formal Nature of Twitter’s Language
    Yuheng Hu, Kartik Talamadupula and Subbarao Kambhampati.
    ICWSM, 2013. (Coverage on Huffington Post(via excerpt from DataClysm) research blog) (Coverage on the Follow the Crowd blog)

14. Assessing Relevance and Trust of the Deep Web Sources and Results Based on Inter-Source Agreement
    Raju Balakrishnan, Subbarao Kambhampati, and Manishkumar Jha.
    ACM Transactions on Web. Volume 7, Issue 2, May 2013.

2012

1. Action-Model Based Multi-agent Plan Recognition
   Hankz Hankui Zhuo, Qiang Yang & Subbarao Kambhampati.
   NIPS 2012.

2. ET-LDA: Joint Topic Modeling For Aligning, Analyzing and Sensemaking of Public Events and Their Twitter Feeds
   Yuheng Hu, Ajita John, Fei Wang, Doreen Duncan Seligmann & Subbarao Kambhampati
   Technical Report arXiv:1210.2164. 2012. (Under Journal Submission)

3. ET-LDA: Joint Topic Modeling for Aligning Events and their Twitter Feedback
   Yuheng Hu, Ajita John, Fei Wang & Subbarao Kambhampati.
   AAAI 2012 (Talk slides and Talk audio).

4. Model-Lite Case-Based Planning
   Hankz Hankui Zhuo, Subbarao Kambhampati, Tuan Nguyen.
   ASU CSE Technical Report. arXiv:1207.6713.

5. Ranking Tweets Considering Trust and Relevance.
   Srijith Ravikumar, Raju Balakrishnan and Subbarao Kambhampati.
   SIGMOD Workshop on Information Integration on the Web (IIWeb), 2012.

6. An Ensemble Architecture for Learning Complex Problem-Solving Techniques From Demonstration.
   Sungwook Yoon and Subbarao Kambhampati along with a good portion of the Eastern Sea Board.
   ACM Transactions on Intelligent Systems and Technology. Vol 3; No 4. 2012.

7. Learning Probabilistic Hierarchical Task Networks to Capture User Planning Preferences.
   Nan Li, William Cushing, Subbarao Kambhampati and Sungwook Yoon.
   ACM Transactions on Intelligent Systems and Technology. Accepted 7/12.

8. Generating diverse plans to handle unknown and partially known user preferences
   Tuan Nguyen, Minh Do, Alfonso Gerevini, Ivan Serina, Biplav Srivastava and Subbara Kambhampati.
   Artificial Intelligence Journal. Vol 190. Pages 1-31. Oct 2012.

9. Bayesian Data Cleaning for Web Data
   Yuheng Hu, Sushovan De, Yi Chen & Subbarao Kambhampati.
   arXiv:1204.3677.

10. Tell me when and why to do it!: Run-time planner model updates via natural language instruction
    Rehj Cantrell, Kartik Talamadupula, Paul Schermerhorn, J. Benton, Subbarao Kambhampati & Matthias Scheutz.
    ACM/IEEE Intl. Conf. on Human Robot Interaction. 2012.

2011

1. Agreement Based Source Selection for the Multi-Topic Deep Web Integration
   Manish Kumar Jha, Raju Balakrishnan and Subbarao Kambhampati.
   17th Intl. Conf. on Management of Data. (COMAD 2011). (Slides and Talk audio)

2. SmartInt: Using Mined Attribute Dependencies to Integrate Fragmented Web Databases
   Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, Sanil Salvi, Subbarao Kambhampati.
   Journal of Intelligent Information Systems. 2011 (Accepted)

3. Click Efficiency: A Unified Optimal Ranking for Online Ads and Documents.
   Raju Balakrishnan and Subbarao Kambhampati
   Technical report arXiv:1107.1660; July 2011.

4. Planning for Agents with Changing Goals
   Kartik Talamadupula, Paul Schermerhorn, J. Benton, Subbarao Kambhampati, and Matthias Scheutz
   ICAPS 2011 System Demonstration. Here is the demo video (45mb; use vlc viewer). Placed 3rd for the "Best Demo" award

5. Planning for Human-Robot Teaming.
   Kartik Talamadupula, Subbarao Kambhampati, Paul Schermerhorn, J. Benton and Matthias Scheutz.
   ICAPS 2011 Workshop on Scheduling and Planning Applications, 2011. (Here is the talk video and ppt slides)

6. Cost Based Satisficing Search Considered Harmful
   William Cushing, J. Benton, Subbarao Kambhampati
   Technical report arxiv:1103.3687; March 2011.
   A version to appear in ICAPS 2011 Workshop on Heuristics for Domain Independent Planning. (Here is the youtube link to talk video and the slides.)

7. Enhancing Search for Satisficing Temporal Planning with Objective-driven Decisions
   J. Benton, Patrick Eyerich and Subbarao Kambhampati
   ICAPS 2011 Workshop on Heuristics for Domain Independent Planning. (Here is the talk video and slides

8. SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement
   Raju Balakrishnan, Subbarao Kambahmapti
   Proceedings of WWW 2011, Hyderabad.
   
   Watch Raju's WWW SourceRank talk in Click full-screen to enlarge  |  View More Click full-screen to enlarge

9. Synthesizing Robust Plans under Incomplete Domain Models
   Tuan Nguyen, Subbarao Kambhampati, Minh Do.
   Technical report arxiv:1104.5069; April 2011.
   Presented at AAAI 2011 Workshop on Generalized Planning. (Here are talk slides).

10. SmartInt: Using Mined Attribute Dependencies to Integrate Fragmented Web Databases
    Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, Sanil Salvi, Subbarao Kambhampati.
    Proceedings of WWW 2011, Hyderabad. (Poster from regular track; 16% acceptance rate)
    Longer version available as: arxiv:1101.5334.

11. Factal: Integrating Deep Web Based on Trust and Relevance.
    Raju Balakrishnan, Subbarao Kambahmapti
    Proceedings of WWW 2011, Hyderabad. (Demo paper).

12. State Agnostic Planning Graphs: Deterministic, Non-Deterministic, and Probabilistic Planning
    Daniel Bryce, William Cushing and Subbarao Kambhampati
    Artificial Intelligence. Volume 175, Issues 3-4, March 2011.

2010

1. Planning for Human-Robot Teaming in Open Worlds.
   Kartik Talamadupula, J. Benton, Subbarao Kambhampati, Paul Schermerhorn, and Matthias Scheutz.
   ACM Transactions on Intelligent Systems and Technology. (Special Issue on Applications of Automated Planning). Vol 1. No. 2. 2010.

2. SourceRank: Relevance and Trust Assessment for deep web sources based on inter-source agreement.
   Raju Balakrishnan and Subbarao Kambhampati
   WWW 2010. ( Here is the poster). (Here is the technical report) Recipient of the "Best Poster" award at WWW-2010.

3. Integrating a closed-world planner with an open-world robot: A case study.
   Kartik Talamadupula, J. Benton, Paul Schermerhorn, Matthias Scheutz and Subbarao Kambhampati
   AAAI 2010
   Watch AAAI 2010 Talk in Click full-screen to enlarge; How-To  |  View More Click full-screen to enlarge

4. Defining and mining functional dependencies in probabilistic databases.
   Sushovan De, Subbarao Kambahmapti
   Technical Report. arxiv:1005.4714.

5. Assessing and Generating Robust Plans with Partial Domain Models
   Tuan A. Nguyen  and Subbarao Kambhampati  and Minh B. Do.
   ICAPS 2010 Workshop on Planning under Uncertainty. 2010.

6. Cost-based search considered harmful.
   William Cushing, J. Benton, Subbarao Kambhampati.
   Symposium on Combinatorial Search (SOCS) 2010.
   Longer version available as: arxiv:1103.3687.

7. G-value Plateaus: A Challenge for Planning.
   J. Benton, Kartik Talamadupula, Patrick Eyerich, Robert Mattmueller and Subbarao Kambhampati.
   ICAPS 2010.
   Watch J's g-value plateus talk in Click full-screen to enlarge  |  View More Click full-screen to enlarge

8. SMARTINT: A System for Answering Queries over Web Databases Using Attribute Dependencies.
   Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, Sanil Salvi, and Subbarao Kambhampati.
   ICDE 2010 (Demo).

2009

1. Query Processing Over Incomplete Autonomous Databases: Query Rewriting Using Learned Data Dependencies
   Garrett Wolf, Aravind Kalavagattu, Hemal Khatri, Raju Balakrishnan, Bhaumik Chokshi, Jianchun Fan, Yi Chen and Subbarao Kambhampati.
   VLDB Journal. 2009. (Special issue on uncertain and probabilistic databases.) Volume 18, Issue 5 (2009), Page 1167-1190.

2. Integrating a ClosedWorld Planner with an Open World Robot: A Case Study.
   Kartik Talamadupula, J. Benton, Paul Schermerhorn, Subbarao Kambhampati and Matthias Scheutz.
   ICAPS 2009 workshop on bridging the gap between action and motion planning. 2009. (Talk Slides).

3. Learning user plan preferences obfuscated by feasibility constraints.
   Nan Li, Will Cushing, Subbarao Kambhampati & Sungwook Yoon. ICAPS 2009 (Short Paper).

4. Finding and Exploiting Goal Opportunities in Real-time during Plan Execution
   Paul Schermerhorn*, J. Benton, Matthias Scheutz, Kartik Talamadupula, Subbarao Kambhampati. IROS 2009.

5. Learning Probabilistic Hierarchical Task Networks to Capture User Preferences.
   Nan Li, Subbarao Kambhampati & Sungwook Yoon. IJCAI 2009.

6. Planning with Partial Preference Models.
   Tuan Nguyen, Minh Do, Biplav Srivastava and Subbarao Kambhampati. IJCAI 2009.

7. An Ensemble Learning and Problem Solving Architecture for Airspace Management
   Sungwook Yoon and Subbarao Kambhampati along with a good portion of the Eastern Sea Board. Proc. IAAI 2009.

8. Anytime Heuristic Search for Partial Satisfaction Planning
   J. Benton, Minh Do and Subbarao Kambhampati.
   Artificial Intelligence Journal. Volume 173, Numbers 5-6, April 2009.

2008

1. Explanation-based Learning for Planning
   Subbarao Kambhampati and Sungwook Yoon.
   To appear in Encyclopedia of Machine Learning. Springer-Verlag, New York, NY (Claude Sammut, ed.)

2. Replanning as deliberative re-selection of objectives.
   William Cushing, J. Benton and Subbarao Kambhampati.
   Technical report. ASU CSE. June 2008.

3. An Online Learning Method for Improving Over-subscription Planning.
   Sungwook Yoon, J. Benton and Subbarao Kambhampati.
   ICAPS 2008.

4. Optimal Ad Ranking for Profit Maximization.
   Raju Balakrishnan and Subbarao Kambhampati.
   WebDB 2008.

5. Probabilistic Planning via Determinization in Hindsight.
   Sungwook Yoon, Alan Fern, Robert Givan and Subbarao Kambhampati.
   AAAI 2008. (Talk slides) (Slides from ICAPS workshop giving an overview of determinization appraoches)
   

6. Loosely coupled formulations for Automated Planning: An Integer Programming Perspective
   Menkes van den Briel, Thomas Vossen and Subbarao Kambhampati.
   Journal of Artificial Intelligence Research. Volume 31, pages 217-257.

7. Sequential Monte Carlo in Reachability Heuristics for Probabilistic Planning
   Daniel Bryce, Subbarao Kambhampati and David E. Smith.
   Artificial Intelligence Journal. Vol. 172. 2008.

2007

1. Model-lite Planning for the Web Age Masses: The Challenges of Planning with Incomplete and Evolving Domain Theories
   Subbarao Kambhampati.
   AAAI 2007. (Slides and Talk audio)
   A sneaky reprise at Festivus@ICAPS 2007 ( slides and audio)

2. Model-Lite Planning: Diverse Multi-option plans & Dynamic Objective Functions. Daniel Bryce, William Cushing & Subbarao Kambhampati
   ICAPS 2007 Workshop on Planning and Plan Execution for Real World Systems.
   (Talk Slides) (Audio)

3. Towards Model-lite Planning: A Proposal For Learning & Planning with Incomplete Domain Models Sungwook Yoon and Subbarao Kambhampati
   ICAPS 2007 Workshop on AI Planning and Learning.
   (Talk Slides)

4. Fluent Merging: A General Technique to Improve Reachability Heuristics and Factored Planning
   Menkes van den Briel, Subbarao Kambhampati and Thomas Vossen.
   ICAPS 2007 Workshop on Heuristics for Domain Independent Planning: Progress, Ideas, Limitations and Challenges.
   (Talk Slides)

5. Finding Admissible Bounds for Over-subscription Planning Problems J. Benton, Menkes van den Briel & Subbarao Kambhampati
   ICAPS 2007 Workshop on Heuristics for Domain Independent Planning: Progress, Ideas, Limitations and Challenges. (Talk Slides)

6. Query processing over Incomplete Autonomous Databases.
   Garrett Wolf, Hemal Khatri, Bhaumik Chokshi, Jianchun Fan, Yi Chen & Subbarao Kambhampati.
   VLDB 2007 (To appear) (Talk Slides)

7. An LP-Based Heuristic for Optimal Planning.
   Menkes van den Briel, J. Benton, Subbarao Kambhampati and Thomas Vossen.
   Constraint Programming Conference (CP-2007).
   (Talk Slides)

8. Evaluating Temporal Planning Domains.
   William Cushing, Daniel Weld, Subbarao Kambhampati, Mausam & Kartik Talamadupula.
   ICAPS 2007.
   (Talk Slides) ((google) Video ;-))

9. A Hybrid Linear Programming and Relaxed Plan Heuristic for Partial Satisfaction Planning Problems.
   J. Benton, Menkes van den Briel & Subbarao Kambhampati.
   ICAPS 2007. (Talk Slides)

10. Probabilistic planning is Multi-Objective!
    Daniel Bryce, Will Cushing and Subbarao Kambhampati.
    ASU CSE TR 07-006. June 2007.

11. Hierarchical Strategy Learning with Hybrid Representations
    Sungwook Yoon and Subbarao Kambhampati
    AAAI 2007 Workshop on Acquiring Planning Knowledge via Demonstration. 2007.

12. How to skin a planning graph for fun and profit: A Tutorial on Planning Graph Based Reachability Heuristics.
    Daniel Bryce and Subbarao Kambhampati.
    ASU CSE TR-06-007, April 2006. AI Magazine (Vol 28, No. 1, Spring 2007)
    (A set of slides that can be used to present this material in class can be found here).

13. QUIC: Handling Query Imprecision & Data Incompleteness in Autonomous Databases.
    Subbarao Kambhampati, Garrett Wolf, Yi Chen, Hemal Khatri,
    Bhaumik Chokshi, Jianchun Fan, Ullas Nambiar.
    CIDR 2007. (Talk slides) (QUIC Demo!).

14. QPIAD: Query processing over Incomplete Autonomous Databases
    Hemal Khatri, Jianchun Fan, Yi Chen & Subbarao Kambhampati. ICDE 2007. (Longer version appears in VLDB 2007)

15. When is Temporal Planning Really Temporal?
    William Cushing, Subbarao Kambhampati, Mausam, Daniel Weld. IJCAI 2007 (Talk slides) (The WOW moment ;-))

16. Planning with Goal Utility Dependencies
    Minh Do, J. Benton, Subbarao Kambhampati, Menkes van den Briel. IJCAI 2007 (Talk slides)

17. Domain Independent Approaches for Finding Diverse Plans
    Biplav Srivastava, Subbarao Kambhampati, Tuan Nguyen, Minh Do, Alfonso Gerevini, Ivan Serina. IJCAI 2007. (Talk slides)

18. Planning for Gene Regulatory Network Intervention.
    Daniel Bryce and Seungchan Kim. IJCAI 2007 (To appear). (Talk slides)

2006

1. Elicitation, Estimation & Explanation Challenges in Handling Imprecision & Incompleteness in Autonomous Databases
   Subbarao Kambhampati.
   Position paper at the NSF/EPA/ONR/NARA/AHRQ/NCO Workshop on Data Integration

2. Relevance and Overlap Aware Text Collection Selection
   Bhaumik Chokshi, John (Wes) Dyer, Thomas Hernandez, and Subbarao Kambhampati. ASU CSE TR 06-019. September 2006.

3. Multi-objective Query Processing for Data Aggregation
   Jianchun Fan and Subbarao Kambhampati. ASU CSE TR . June 2006.

4. Supporting Queries with Imprecise Constraints
   Ullas Nambiar and Subbarao Kambhampati. AAAI 2006 NECTAR program. (talk slides).

5. Planning Graph Heuristics for Belief Space Search
   Daniel Bryce, Subbarao Kambhampati and David E. Smith. Journal of Artificial Intelligence Research. Volume 26, pages 35-99. May 2006.

6. Finding Inter-related Plans
   Biplav Srivastava, Subbarao Kambhampati, Minh Binh Do and Tuan A. Nguyen. ICAPS 2006 Workshop on Plan Analysis and Management. 2006

7. Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
   Daniel Bryce, Subbarao Kambhampati, and David E. Smith, ICAPS, 2006.
   Shortlisted for Best Paper award

8. Answering Imprecise Queries over Autonomous Web Databases
   Ullas Nambiar and Subbarao Kambhampati. To appear in Proc. ICDE 2006. (Here are the Talk Slides)

9. Planning with Goal Utility Dependencies
   Minh B. Do, J. Benton and S. Kambhampati.
   ICAPS 2006 Workshop on Preferences and Soft Constraints in Planning. 2006.

2005

1. Optiplan: A Planning System that Unifies Integerprogramming with Planning Graph. (Engineering Note)
   Menkes van den Briel and Subbarao Kambhmpati. JAIR special track on IPC 2004. December 2005.

2. Oversubscription planning with metric goals.
   J. Benton, Minh B. Do and S. Kambhampati. IJCAI 2005. (Here are slides from IJCAI talk) .

3. Cost Sensitive Reachability Heuristics for Handling State Uncertainty
   Daniel Bryce and Subbarao Kambhampati.
   Proc. UAI 2005.

4. Reviving Integer Programming Approaches for AI Planning: A Branch-and-Cut Framework
   Menkes van den Briel, Thomas Vossen and Subbarao Kambhampati. ICAPS 2005. (Here are slides from ICAPS talk)

5. Answering imprecise queries over web databases (demo).
   Ullas Nambiar & Subbarao Kambhampati
   VLDB 2005.

6. Using memory to transform search on the planning graph
   Terry Zimmerman and Subbarao Kambhampati.
   Journal of Artificial Intelligence Research. Volume 23, pages 533-585. 2005.

7. The case for automated planning in Autonomic Computing
   Biplav Srivastava and Subbarao Kambhampati
   2nd Intl. Conf. on Autonomic Computing. 2005. (poster). (talk slides)

8. Replanning: A new perspective.
   William Cushing and Subbarao Kambhampati
   Poster Program. ICAPS 2005.

9. State Agnostic Planning Graphs (and their application to Belief Space Planning)
   William Cushing and Daniel Bryce.
   Proc. AAAI 2005. (Here are slides from AAAI talk)
   Shortlisted for Best Student Paper awardi

10. Improving text collection selection techniques with coverage and overlap statistics
    Thomas Hernandez and Subbarao Kambhampati
    WWW 2005. (This is the longer version of the Poster paper) (A version was also invited as a PC-recommended poster at SIGIR 2005; but we declined)

11. Effectively mining and using coverage and overlap statistics for data integration.
    Zaiqing Nie, Subbarao Kambhampati and Ullas Nambiar.
    IEEE Transactions on Knowledge and Data Engineering. Vol. 17, No. 5, May 2005.

12. Mining, Using and Maintaining Source Statistics for Adaptive Data Integration
    Jianchun Fan, Subbarao Kambhampati and Zaiqing Nie. ASU CSE TR 05-003. Submitted for publication.

13. A Snapshot of Public Web Services
    Jianchun Fan and Subbarao Kambhampati. SIGMOD Record, March 2005. (Revised version of ASU CSE TR 04-004).
    Here is the raw data from the survey.

14. Planning Graph Heuristics for Selecting Objectives in Over-subscription Planning Problems
    Romeo Sanchez and Subbarao Kambhampati. ICAPS 2005.

2004

1. Partial Satisfaction (Over-Subscription) Planning as Heuristic Search.
   Minh B. Do and Subbarao Kambhampat. Proc. of Knowledge Based Computer Systems (KBCS), 2004.

2. Planning in Belief Space with a Labelled Uncertainty Graph
   Daniel Bryce, Subbarao Kambhampati and David E. Smith. AAAI 2004 workshop on Learning and Planning in Markov Decision Processes.

3. Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries
   Ullas Nambiar and Subbarao Kambhampati. WebDB 2004.

4. Providing Ranked Relevant Results for Web Database Queries.
   Ullas Nambiar and Subbarao Kambhampati. WWW 2004.

5. Effective approaches for Partial Satisfation (over-subscription) Planning.
   Menkes van den Briel, Romeo Sanchez Nigenda, Minh B. Do and Subbarao Kambhampati. AAAI 2004. (Here are slides from AAAI talk)

6. A frequency-based approach for mining coverage statistics in Data Integration.
   Zaiqing Nie and Subbarao Kambhampati. ICDE 2004.

7. Integration of Bioinformatic Sources: Current Approaches and Systems
   Thomas Hernandez and Subbarao Kambhampati, ASU CSE TR 03-005. July 2003. SIGMOD Record, Vol 33, No 3 September 2004.

8. Heuristic Guidance Measures for Conformant Planning
   Daniel Bryce and Subbarao Kambhampati. ICAPS 2004. Here is the (highly animated) talk.

9. Over-subscription in Planning: A Partial Satisfaction Problem.
   Menkes van den Briel, Romeo Sanchez Nigenda and Subbarao Kambhampati. ICAPS 2004 Workshop on Integrating Planning into Scheduling.

10. Planning-Scheduling Connections through Exogenous Events.
    Minh B. Do, Subbarao Kambhampati and Terry Zimmerman. ICAPS 2004 Workshop on Integrating Planning into Scheduling.

11. Optimizing Recursive Information Gathering Plans in EMERAC.
    S. Kambhampati, E. Lambrecht, U. Nambiar, Z. Nie and G. Senthil. Journal of Intelligent Information Systems. Vol 22, No. 2. March 2004. pp. 119-153.

2003

1. AltAlt-p: Online parallelization of plans with heuristic state search.
   Romeo Sanchez and Subbarao Kambhampati. JAIR. Volume 19. pp. 631-657. Published: 12/03.
   An extended abstract appears in Proc. IJCAI 2003

2. Answering Imprecise Database Queries
   Ullas Nambiar and Subbarao Kambhampati. ACM WIDM 2003 (Workshop on Web Information and Data Management).

3. Information Integration On the Web (Guest Editor's Introduction).
   Subbarao Kambhampati, Craig Knoblock
   IEEE Intelligent Systems. October 2003. (Here is the special issue.)

4. 1001 ways to skin a planning graph for heuristic fun and profit.
   Subbarao Kambhampati. Slides from the Invited Talk. ICAPS 2003.

5. Using memory to transform search on the planning graph
   Terry Zimmerman and Subbarao Kambhampati. Submitted for publication.
   An extended abstract appears in Proc. IJCAI 2003

6. Learning-assisted automated planning: Looking back, taking stock, going forward
   Terry Zimmerman and Subbarao Kambhampati. AI Magazine 24(2):73-96. Summer 2003

7. Bibfinder/Statminer: Effectively mining and using Coverage and Overlap Statistics in Data Integration
   Zaiqing Nie, Subbarao Kambhampati and Thomas Hernandez. Proc. VLDB 2003. Here is the poster

8. Frequency-based Coverage Statistics Mining for Data Integration.
   Zaiqing Nie, Subbarao Kambhampati. IJCAI Workshop on Information Integration on the Web. 2003.

9. A Critique of Knowledge-based planning track at ICP
   Subbarao Kambhampati. Position paper to be presented at the ICAPS Workshop on the Competition: Impact, Organization, Evaluation and Benchmarks. 2003. Here are the talk slides

10. Heuristic guidance measures for Conformant Planning
    Dan Bryce and Subbarao Kambhampati. ICAPS workshop on Planning under uncertainty and incomplete information. 2003

11. Sapa: A Scalable Multi-Objective Metric Temporal Planner
    Minh B. Do and Subbarao Kambhampati. Journal of Artificial Intelligence Research. Vol 20. 2003. Pages: 155-194.

12. Improving the Temporal Flexibility of Position Constrained Metric Temporal Plans.
    Minh B. Do and Subbarao Kambhampati. ASU CSE TR02-003. In Proc. ICAPS 2003.

2002

1. Research Issues at the Intersection of Planning and Constraint Programming.
   A. Naryek and S. Kambhampati. Constraints Journal. Special Issue on Planning. 2002.

2. Mining Coverage Statistics for Websource Selection in a Mediator
   Z.Nie, U. Nambiar, S. Lakshmi and S. Kambhampati. ASU CSE TR 02-008. (A short version of this paper appears in Proceedings of CIKM 2002). See the Havasu homepage.

3. Planning Graph-based heuristics for Cost-sensitive Temporal Planning
   Minh B. Do and Subbarao Kambhampati. AIPS 2002.

4. Planning Graph as the Basis for deriving Heuristics for Plan Synthesis by State Space and CSP Search.
   XuanLong Nguyen, Subbarao Kambhampati and Romeo Sanchez Nigenda.
   ASU Technical Report. Artificial Intelligence. (PDF)
   See AltAlt Homepage!

5. Generating parallel plans satisfying multiple criteria in anytime fashion.
   Terry Zimmerman and Subbarao Kambhampati. Presented at the AIPS 2002 Workshop on Planning and Scheduling with Multiple Criteria.

2001

1. Mining Source Coverage Statistics for Data Integaration
   Zaiqing Nie, Subbarao Kambhampati, Ullas Nambiar and Sreelakshmi Vaddi. To appear in Proc. Proc. 3rd Intl. Workshop on Web Information and Data Management (WIDM) 2001.

2. ALTALT Combining Graphplan and Heuristic State Search
   Biplav Srivastava, XuanLong Nguyen, Subbarao Kambhampati, Minh B. Do, Ullas Nambiar, Zaiqing Nie, Romeo Nigenda, and Terry Zimmerman.
   AI Magazine Volume 22 Number 3. 2001.

3. Joint optimization of cost and coverage of query plans in data integration
   Zaiqing Nie and Subbarao Kambhampati. To appear in Proc. ACM CIKM 2001.

4. Sapa: A Domain-Independent Heuristic Metric Temporal Planner
   Minh B. Do and Subbarao Kambhampati. ECP 2001. To appear.

5. Effective interplay of state-space and CSP views in a single planner
   Terry Zimmerman and Subbarao Kambhampati. Submitted for publication.

6. Reviving Partial Order Planning
   XuanLong Nguyen, Subbarao Kambhampati. Proc. IJCAI-2001. Here are the slides from IJCAI-01 talk.

7. Planning as Constraint Satisfaction: Solving the planning graph by compiling it into CSP.
   Minh B. Do and Subbarao Kambhampati. ASU Technical Report. To appear in Artificial Intelligence. (extended version of a paper presented at AIPS-2000).
   (Postscript) (PDF)
   Home page for GP-CSP.

8. Planning the Project Management Way: Efficient Planning by Effective Integration of Causal and Resource Reasoning in RealPlan.
   Biplav Srivastava, Subbarao Kambhampati, Binh Minh Do
   To appear in Artificial Intelligence (Postscript) (PDF) See the RealPlan Homepage.

2000

1. Integrating Planning and Scheduling: Status and Prospects. Subbarao Kambhampati. Slides of the Invited Talk at KBCS 2000 (Bombay, India, December 2000).

2. AltAlt: Combining the advantages of Graphplan and Heuristics State Search.
   XuanLong Nguyen, Subbarao Kambhampati and Romeo Sanchez Nigenda.
   In Proc. International Conference on Knowledge-based Computer Systems. Bombay, India. December 2000. (Postscript) (PDF)
   Here are the talk slides.
   See AltAlt Homepage!

3. ASUPPA: A Framework for Interactive and Iterative Synthesis and Improvement of Process Plans Xialomin Li, Subbarao Kambhampati and Jami Shah. Computers and Information in Engineering Conferene. (ASME 2000 Desighn Engineering Technical Conferences).

4. Extracting effective and admissible heuristics from the Planning Graph XuanLong Nguyen and Subbarao Kambhampati. In Proc. AAAI-00

5. RealPlan: Decoupling Causal and Resource Reasoning in Planning Biplav Srivastava. Appears in AAAI-00

6. Solving Planning Graph by Compiling it into a CSP Binhminh Do and Subbarao Kambhampati. In Proc. AIPS-2000. ICAPS 2010 Influential Paper Award (Honorable mention)

7. Distance based goal ordering heuristics for Graphplan Subbarao Kambhampati and Romeo Sanchez Nigenda. In Proc. AIPS-2000.

8. Investigating the Effect of Relevance and Reachability Constraints on SAT Encodings of Planning P Binhminh Do, Biplav Srivastava and Subbarao Kambhampati. In Proc. AIPS-2000.

9. Efficiently gathering information on the Internet using AI&DB techniques: The Emerac Project. Talk and project link by S. Kambhampati

10. Planning Graph as (dynamic) CSP: Exploiting EBL, DDB and other CSP Techniques in Graphplan
    S. Kambhampati. Journal of Artificial Intelligence research (JAIR). 2000.
    shorter version appears in IJCAI-99.The slides from IJCAI talk. Here is the lisp code used to evaluate the techniques.

1999

1. Improving Graphplan's search with EBL and DDB techniques. In Proc. IJCAI-1999.

2. Recent Advances in AI Planning: A Unifying View. Tutorial presented at IJCAI-99. S. Kambhampati

3. Scaling up planning by teasing out resource scheduling
   B. Srivastava & S. Kambhampati. ASU CSE TR 99-005. Appears in ECP-99. A shorter version Presented at AAAI Spring Symposium on Search Strategies. Here are the talk slides. .

4. On the utility of Plan-space (causal) Encodings
   A. Mali & S. Kambhampati. In Proc. AAAI-99. (Postscript) (PDF) (Slides of the AAAI Talk)

5. Exploiting the symmertry in the Planning-graph via Explanation-guided Search
   T. Zimmerman & S. Kambhampati. In Proc. AAAI-99.. (Postscript) (PDF)

6. Optimizing recursive information gathering plans
   E. Lambrecht, S. Kambhampati and S. Gnanaprakasam. In Proc. IJCAI-99 Talk slides

7. Optimizing source-call ordering in information gathering plans
   S. Kambhampati and S. Gnanaprakasam. IJCAI-99 Workshop on Intelligent Information Integration. Talk slides

1998

1. Winning by being Lazy: Hierarchy, Abstraction and Least-commitment in the new-age planning
   S. Kambhampati. Invited talk at NIPS-98 workshop on Abstraction and Hierarchy in Reinforcement Learning.

2. Optimization Strategies for Information Gathering Plans
   E. Lambrecht and S. Kambhampati. November 98. (A shorter version is accepted for presentation at IJCAI-99.)
   ASU CSE TR 98-018

3. On the relations between intelligent backtracking and explanation based learning in Planning and CSP
   S. Kambhampati
   ASU CSE TR 97-018. Artificial Intelligence, Spring 1999

4. Encoding HTN planning in propositional logic
   A. Mali and S. Kambhampati
   In Proc. AIPS-98. 1998.

5. Hybrid planning for partially hierarchical domains
   S. Kambhampati, A. Mali and B. Srivastava.
   In Proc. AAAI-98. 1998. Here is the talk (Also check out the extended version )

6. Frugal propositional encodings for planning
   A. Mali and S. Kambhampati.
   AIPS Workshop on Planning as Combinatorial Search. 1998.

7. Refinement based planning as satisfiability
   A. Mali and S. Kambhampati.
   AIPS Workshop on Planning as Combinatorial Search. 1998.

8. Distributed Planning
   A. Mali and S. Kambhampati.
   Survey paper to appear in Encyclopedia of Distributed Computer Science. 1998.

9. Efficiently executing information gathering plans
   E. Lambrecht and S. Kambhampati.
   AAAI workshop on AI and Information Integration. 1998.

10. Synthesizing customized planners from specifications
    B. Srivastava and S. Kambhampati
    Journal of Artificial Intelligence Research. Volume 8. pp 93-128. 1998.
    Reviewed in "The page of positive reviews"

1997

1. Understanding and Extending Graphplan
   S. Kambhampati, E. Lambrecht and E. Parker
   To be presented at the 4th european conference on planning, 1997 Here is the talk

2. Storing and Indexing plan derivations through explanation-based analysis of retrieval failures
   L. Ihrig and S. Kambhampati
   Journal of Artificial Intelligence, Vol 7, pp. 161-198. 1997.

3. A structured approach for synthesizing planners from specifications
   B. Srivastava, A. Mali and S. Kambhampati
   12th IEEE Intl. Conf. on Automated Software Engineering, 1997, Lake Tahoe. (To appear)

4. Challenges in bridging plan-synthesis paradigms
   S. Kambhampati
   To appear as a Challenge paper at IJCAI-97. Here is the challenge homepage

5. Planning for Information Gathering: A Tutorial Survey
   E. Lambrecht and S. Kambhampati
   ASU CSE TR 97-017, May 1997.

6. Process Planner's Assistant: An incremental and interactive approach to automating process planning
   X. Li, S. Kambhampati, K. Hirode and J. Shah
   ASME Design Engineering Techical Conference, 1997 (To appear) Compressed version.

7. Refinement planning as a unifying framework for plan synthesis
   S. Kambhampati
   AI Magazine, Vol 18. No. 2, Summer, 1997. Here is the pdf version of the article as it appears in AI Magazine.
   (Here is an independent survey of this stuff written by someone from Finland...)

8. Failure Driven Dynamic Search Control for Partial Order Planners: An explanation-based approach
   S. Kambhampati, S. Katukam, Y. Qu
   Artificial Intelligence. 88(1-2), 1997 ASU CSE TR-95-010.

1996

1. On the role of Disjunctive representations and Constraint Propagation in Refinement Planning
   S. Kambhampati and X. Yang
   Final version of a paper to appear in KRR-96.
   Here is the talk on the paper delivered at KR-96, November 5th, 1996 HTML versionPostscript Version

2. Design and Implementation of a Replay Framework based on a Partial order Planner.
   L. Ihrig and S. Kambhampat
   AAAI-96

3. Theoretical Contributions of Artificial Intelligence
   Subbarao Kambhampati. IEEE Computer. Vol. 29 Issue 10.

4. Refinement planning: Status and Prospectus
   S. Kambhampati.
   AAAI-96 invited talk.

   Color slides (with commentary) ( HTML version or ( Postscript or Compressed Postscript)

   Black and white slides (with commentary) ( Postscript or Compressed Postscript)

   Proceedings paper (a bit dated; talk is more up to date) ( Postscript)

5. Formalizing Dependency Directed Backtracking and Explanation-based Learning in Refinement Search.
   S. Kambhampati,
   AAAI-96

6. Unifying Classical Planning Approaches
   S. Kambhampati and B. Srivastava
   ASU CSE Technical Report 96-006. (59 pages) (Submitted for publication)

7. A Candidate Set based analysis of subgoal interactions in conjunctive goal planning
   S. Kambhampati, L. Ihrig and B. Srivastava
   AIPS-96.

8. On the nature and role of modal truth criteria in planning
   S. Kambhampati & D.S. Nau
   Artificial Intelligence, 88(1-2). 1996.
   

1995

1. Planning and Scheduling
   T. Dean and S. Kambhampati
   CRC Handbook of Computer Science and Engineering (to appear),1995

2. AI Planning: A prospectus on theory and applications
   S. Kambhampati
   ACM Computing Survyes: Symposium on Artificial Intelligence, Sept. 1995

3. No planner is an island: Lessons from the Nextcut Process Planner
   S. Kambhampati
   AAAI Spring Symposium on Integrated Planning Applications. AAAI Technical Report SS-95-04.

4. Admissible pruning strategies based on plan minimality for plan space planning.
   S. Kambhampati
   Proc. of IJCAI-95.
   Here is an extended version with empirical results and proofs

5. Integrating Replay with EBL to improve planning performance
   L. Ihrig and S. Kambhampati
   To appear in Proc. 3rd European Planning Workshop (EWSP-95). ASU CSE TR 94-003; January 1995.

6. Universal Classical Planner: An algorithm for unifying state-space and plan-space planning
   S. Kambhampati and B. Srivastava
   To appear in Proc. 3rd European Planning Workshop (EWSP-95). ASU CSE TR 94-002; January 1995. (Also check out the extended version )

7. Automatic storage and indexing of plan derivations based on replay failures.
   L. Ihrig and S. Kambhampati
   In Proc. of IJCAI Workshop on formal methods for reuse of plans, proofs and programs. 1995.

8. Learning control rules for expressive plan-space planners: Factors influencing the performance
   Y. Qu and S. Kambhampati
   To appear in Proc. 3rd European Planning Workshop (EWSP-95). ASU CSE TR 95-006.

9. Planning as Refinement Search: A unified framework for evaluating design tradeoffs in partial order planning
   S. Kambhampati, C. Knoblock and Q. Yang
   ASU CSE TR 94-002, Artificial Intelligence Special Issue on Planning and Scheduling. 1995. Here is a Link to the code, data and results of the experiments reported in the paper.(~0.5 Meg)

10. A comparative analysis of partial order planning and task reduction planning
    S. Kambhampati
    SIGART Bulletin, Special Section on Evaluating Plans, Planners and Planning agents, Vol. 6., No. 1, January, 1995.

11. An Iterative and Interactive approach for Process Planning
    S. Bathcu, S. Kambhampati, H. Kartheek and J. Shah
    ASU CSE TR 95-023, September 1995.

1994

1. Multi-Contributor Causal Structures for Planning: A formalization and Evaluation.
   S. Kambhampati
   Artificial Intelligence, Vol. 69, 1994

2. Derivational replay for partial order planning
   L. Ihrig and S. Kambhampati
   In Proceedings of AAAI-94

3. Plan-space vs. State-space planning in reuse and replay
   L. Ihrig and S. Kambhampati
   ASU CSE TR 94-006, Revised December 1996

4. Evaluating the Effectiveness of Derivation Replay in Partial-Order vs. State-Space Planning
   L. Ihrig and S. Kambhampati
   In Proceedings of AAAI-94 Workshop on Case-Based Reasoning

5. Exploiting causal structure to control retrieval and refitting during plan reuse.
   S. Kambhampati
   Computational Intelligence, Vol 10, No 2, May 1994
   (available in hardcopy only)

6. Refinement search as a unifying framework for analyzing plan space planners
   S. Kambhampati
   In Proceedings of 2nd Intl. Conf on Ppls. Knowledge Rep. and Reasoning, 1994

7. Design Tradeoffs in partial order (plan space) planning
   S. Kambhampati
   In Proceedings of 2nd Intl. Conf on AI Planning Systems, 1994

8. Comparing Partial order planning and Task Reduction planning: A preliminary report
   S. Kambhampati
   In Working notes of AAAI-94 workshop on Comparative analysis of planning algorithms
   (also ASU-CSE TR 94-001, March, 1994)

9. Planning as Refinement Search: A unified framework for comparative analysis of search space size and performance
   S. Kambhampati
   ASU CSE TR 93-004 (an older version of ASU TR 94-002 above)

10. On the nature of modal truth criteria in planning
    S. Kambhampati and D.S. Nau
    In Proceedings of AAAI-94

11. Learning Explanation-based search control rules for Partial-order planning
    S. Katukam and S. Kambhampati
    In Proceedings of AAAI-94

12. A Unified framework for Explanation Based Generalization of Partially ordered and partially instantiated plans.
    S. Kambhampati and S. Kedar.
    Artificial Intelligence, Vol. 67, No. 1, May 1994

13. Formalizing a spectrum of Plan Generalization based on Modal Truth Criteria
    S. Kambhampati
    Accepted to Canadian AI conf, 94

14. Classical Planning: Compilation of notes from a Seminar course held at ASU in Spring 94
    S. Kambhampati
    ASU CSE Working Notes 94-008

1993

1. Integrating General Purpose Planners and Specialized Reasoners: Case Study of a Hybrid Planning Architecture.
   S. Kambhampati, M.R. Cutkoksy, J.M. Tenenbaum and S. Lee
   IEEE Trans. on Systems, Man and Cybernetics, Special issue on Planning, Scheduling and Control, Vol. 23, No. 6, November/December, 1993) An earlier version appears in Proc. AAAI-91.
   

2. On the utility of Systematicity: Understanding tradeoffs between redundancy and Commitment during partial order planning.
   S. Kambhampati
   In Proceedings of IJCAI-93

3. Relative Utility of EBG based Plan Reuse in partial ordering vs. total ordering planning
   S. Kambhampati and J. Chen.
   In Proceedings of AAAI-93

4. Classical Planning: Compilation of notes from a Seminar course held at ASU in Spring 93
   S. Kambhampati
   ASU CSE Working Notes 93-003
   (If you retrieve this file, please let me know by e-mail)
   

1992

1. Characterizing Multi-contributor causal structures for planning
   S. Kambhampati
   In Proceedings of 1st Intl. Conf. on AI Planning Systems, 1992

2. A Validation Structure-Based Theory of Plan Modification and Reuse
   S. Kambhampati and J. A. Hendler
   Artificial Intelligence Journal. Vol 55. pp. 193-258. 1992.

1991

1. Explanation-based generalization of partially ordered plans. Subbarao Kambhampati and Smadar Kedar. In Proc. AAAI-1991.

2. Combining specialized reasoners and general purpose planners: A case study. Subbarao Kambhampati, Mark Cutkosky, Marty Tenenbaum, Soo-Hong Lee. . In Proc. AAAI-1991.

1990

1. A Theory of Plan Modification Subbarao Kambhampati. In Proc. AAAI-1990.

2. Mapping and retrieval during plan reuse: A Validation based approach. Subbarao Kambhampati. In Proc. AAAI-1990.

3. A Classification of Plan Modification Strategies Based on Coverage and Information Requirements
   S. Kambhampati
   In Working notes of AAAI 90 Spring Symposium on Case-Based Reasoning, 1990

4. An approach toward incremental and interactive planning for concurrent product and process design
   S. Kambhampati, M.R. Cutkosky.
   ASME Winter Annual Meeting on Computer-Based Approach to Concurrent Engineering. 1990.

5. Planning in Concurrent Domains
   S. Kambhampati, J.M. Tenenbaum.
   Proceedings of DARPA Workshop on Innovative approaches to planning, scheduling and control. 1990.

1989

1. Control of refitting during plan reuse..
   Kambhampati S.; Hendler, J.A. IJCAI 1989. pp: 943-948.

2. Flexible reuse of plans via annotation and verification .
   Kambhampati S.; Hendler, J.A. Proc. 5th Intl. Conf. on Artificial Intelligence for Applications, 1989. pp: 37 -43

1986

1. Multi-resolution path planning for mobile robots.
   Kambhampati S.; Davis L.S. IEEE Journal of Robotics and Automation. Vol. RA-2, No. 3, September 1986. Here is a recent talk by someone on the progress on multi-resolution path-planning methods

1985

1. Visual algorithms for autonomous navigation
   Andresen, F.; Davis, L.; Eastman, R.; Kambhampati, S.;
   IEEE International Conference on Robotics and Automation. Proceedings. 1985 Volume 2, Mar 1985 Page(s):856 - 861

1983

1. Some experiments in isolated word speech recognition for confusable vocabulary
   Subbarao Kambhampati (aka Kambhampati Subba Rao).
   B.Tech. Thesis (advised by Prof. B. Yegnanaaryana), submitted to IIT Madras. 1983.