Subbarao Kambhampati

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 181

Top Venues

Publications

Lin Guan, Yifan Zhou, Denis Liu, Yantian Zha, Heni Ben Amor, Subbarao Kambhampati
"Task Success" is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors. CoRR (2024)
Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati
Planning with mental models - Balancing explanations and explicability. Artif. Intell. 335 (2024)
Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks. CoRR (2024)
Subbarao Kambhampati
Can Large Language Models Reason and Plan? CoRR (2024)
Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati
Chain of Thoughtlessness: An Analysis of CoT in Planning. CoRR (2024)
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. CoRR (2024)
Siddhant Bhambri, Amrita Bhattacharjee, Huan Liu, Subbarao Kambhampati
Efficient Reinforcement Learning via Large Language Model-based Search. CoRR (2024)
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati
Theory of Mind Abilities of Large Language Models in Human-Robot Interaction: An Illusion? HRI (Companion) (2024)
Yantian Zha, Lin Guan, Subbarao Kambhampati
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. AAAI (2024)
Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation. AAAI (2024)
Atharva Gundawar, Mudit Verma, Lin Guan, Karthik Valmeekam, Siddhant Bhambri, Subbarao Kambhampati
Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning. CoRR (2024)
Upasana Biswas, Lin Guan, Subbarao Kambhampati
On the Pitfalls of Learning to Cooperate with Self Play Agents Checkpointed to Capture Humans of Diverse Skill Levels. HRI (Companion) (2024)
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models. CoRR (2024)
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati
Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion? CoRR (2024)
Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati
Explainable Human-AI Interaction: A Planning Perspective. CoRR (2024)
Lucas Saldyt, Subbarao Kambhampati
Algorithmic Language Models with Neurally Compiled Libraries. CoRR (2024)
Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati
Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction. HRI (2023)
Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. NeurIPS (2023)
Daman Arora, Subbarao Kambhampati
Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models. CoRR (2023)
Sarath Sreedharan, Christian Muise, Subbarao Kambhampati
Generalizing Action Justification and Causal Links to Policies. ICAPS (2023)
Karthik Valmeekam, Matthew Marquez, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. NeurIPS (2023)
Karthik Valmeekam, Matthew Marquez, Subbarao Kambhampati
Can Large Language Models Really Improve by Self-critiquing Their Own Plans? CoRR (2023)
Mudit Verma, Subbarao Kambhampati
A State Augmentation based approach to Reinforcement Learning from Human Preferences. CoRR (2023)
Kaya Stechly, Matthew Marquez, Subbarao Kambhampati
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems. CoRR (2023)
Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS (2023)
Mudit Verma, Subbarao Kambhampati
Data Driven Reward Initialization for Preference based Reinforcement Learning. CoRR (2023)
Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. CoRR (2023)
Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati
On the Planning Abilities of Large Language Models - A Critical Investigation. CoRR (2023)
Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning. CoRR (2023)
Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract). IJCAI (2023)
Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati
A Mental Model Based Theory of Trust. CoRR (2023)
Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. CoRR (2023)
Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati
On the Planning Abilities of Large Language Models - A Critical Investigation. NeurIPS (2023)
Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation. AAMAS (2023)
Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez, Alberto Olmo Hernandez, Subbarao Kambhampati
On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). CoRR (2023)
Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. ICLR (2023)
Siddhant Bhambri, Mudit Verma, Anil Murthy, Subbarao Kambhampati
Benchmarking Multi-Agent Preference-based Reinforcement Learning for Human-AI Teaming. CoRR (2023)
Siddhant Bhambri, Purv Chauhan, Frederico Araujo, Adam Doupé, Subbarao Kambhampati
Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment. CoRR (2022)
Siddhant Bhambri, Purv Chauhan, Frederico Araujo, Adam Doupé, Subbarao Kambhampati
Using Deception in Markov Game to Understand Adversarial Behaviors Through a Capture-The-Flag Environment. GameSec (2022)
Subbarao Kambhampati
Changing the nature of AI research. Commun. ACM 65 (9) (2022)
Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. ICAPS (2022)
Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations. ICLR (2022)
Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. AAAI (2022)
Lin Guan, Sarath Sreedharan, Subbarao Kambhampati
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. ICML (2022)
Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-based mixed planning with symbolic and numeric action parameters. Artif. Intell. 313 (2022)
Zahra Zahedi, Sarath Sreedharan, Mudit Verma, Subbarao Kambhampati
Modeling the Interplay between Human Trust and Monitoring. HRI (2022)
Mudit Verma, Ayush Kharkwal, Subbarao Kambhampati
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop. CoRR (2022)
Niharika Jain, Alberto Olmo Hernandez, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses. Artif. Intell. 304 (2022)
Sarath Sreedharan, Pascal Bercher, Subbarao Kambhampati
On the Computational Complexity of Model Reconciliations. IJCAI (2022)
Sriram Gopalakrishnan, Subbarao Kambhampati
Minimizing Robot Navigation Graph for Position-Based Predictability by Humans. AAMAS (2022)
Lin Guan, Sarath Sreedharan, Subbarao Kambhampati
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. CoRR (2022)
Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati
A Mental-Model Centric Landscape of Human-AI Symbiosis. CoRR (2022)
Karthik Valmeekam, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati
Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change). CoRR (2022)
Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. CoRR (2022)
Utkarsh Soni, Sarath Sreedharan, Mudit Verma, Lin Guan, Matthew Marquez, Subbarao Kambhampati
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. CoRR (2022)
Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-Based Mixed Planning with Discrete and Continuous Actions. CoRR (2021)
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Planning for Proactive Assistance in Environments with Partial Observability. CoRR (2021)
Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati
Not all users are the same: Providing personalized explanations for sequential decision making problems. IROS (2021)
Yantian Zha, Lin Guan, Subbarao Kambhampati
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. CoRR (2021)
Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver. CoRR (2021)
Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. AAAI (2021)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
Using state abstractions to compute personalized contrastive explanations for AI agent behavior. Artif. Intell. 301 (2021)
Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati
GPT3-to-plan: Extracting plans from text using GPT-3. CoRR (2021)
Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati
Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes. CoRR (2021)
Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati
Foundations of explanations as model reconciliation. Artif. Intell. 301 (2021)
Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati
Not all users are the same: Providing personalized explanations for sequential decision making problems. CoRR (2021)
Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati
Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction. CoRR (2021)
Zahra Zahedi, Subbarao Kambhampati
Human-AI Symbiosis: A Survey of Current Approaches. CoRR (2021)
Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction. IJCAI (2021)
Frederico Araujo, Sailik Sengupta, Jiyong Jang, Adam Doupé, Kevin W. Hamlen, Subbarao Kambhampati
Software Deception Steering through Version Emulation. HICSS (2021)
Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. CoRR (2021)
Subbarao Kambhampati
Polanyi's revenge and AI's new romance with tacit knowledge. Commun. ACM 64 (2) (2021)
Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation. NeurIPS (2021)
Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI. CoRR (2021)
Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Yasaman Khazaeni, Subbarao Kambhampati
- D3WA+ - A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning. ICAPS (2020)
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
The Emerging Landscape of Explainable Automated Planning & Decision Making. IJCAI (2020)
Sriram Gopalakrishnan, Subbarao Kambhampati
Model Minimization For Online Predictability. CoRR (2020)
Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
A Bayesian Account of Measures of Interpretability in Human-AI Interaction. CoRR (2020)
Sachin Grover, Sailik Sengupta, Tathagata Chakraborti, Aditya Prasad Mishra, Subbarao Kambhampati
RADAR: automated task planning for proactive decision support. Hum. Comput. Interact. 35 (5-6) (2020)
Sachin Grover, David E. Smith, Subbarao Kambhampati
Model Elicitation through Direct Questioning. CoRR (2020)
Lin Guan, Mudit Verma, Subbarao Kambhampati
Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning. CoRR (2020)
Sailik Sengupta, Ankur Chowdhary, Abdulhakim Sabur, Adel Alshamrani, Dijiang Huang, Subbarao Kambhampati
A Survey of Moving Target Defenses for Network Security. IEEE Commun. Surv. Tutorials 22 (3) (2020)
Sailik Sengupta, Kaustav Basu, Arunabha Sen, Subbarao Kambhampati
Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. GameSec (2020)
Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
'Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees. CoRR (2020)
Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification. CoRR (2020)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions. ICAPS (2020)
Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
Designing Environments Conducive to Interpretable Robot Behavior. CoRR (2020)
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
The Emerging Landscape of Explainable AI Planning and Decision Making. CoRR (2020)
Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
Designing Environments Conducive to Interpretable Robot Behavior. IROS (2020)
Sailik Sengupta, Subbarao Kambhampati
Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense. CoRR (2020)
Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. AAAI (2020)
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility. AAMAS (2020)
Subbarao Kambhampati
Conference Keynote Synthesizing Interpretable Behavior for Human-Aware AI Systems. CogMI (2020)
Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, Xin Tian
Discovering Underlying Plans Based on Shallow Models. ACM Trans. Intell. Syst. Technol. 11 (2) (2020)
Sailik Sengupta, Kaustav Basu, Arunabha Sen, Subbarao Kambhampati
Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. CoRR (2020)
Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. CoRR (2020)
Subbarao Kambhampati
Challenges of Human-Aware AI Systems AAAI Presidential Address. AI Mag. 41 (3) (2020)
Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators. CoRR (2020)
Niharika Jain, Alberto Olmo Hernandez, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses. CoRR (2020)
Tathagata Chakraborti, Sarath Sreedharan, Sachin Grover, Subbarao Kambhampati
Plan Explanations as Model Reconciliation. HRI (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Subbarao Kambhampati