Subbarao Kambhampati

Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation ACL 2026 Who Is Helping Whom? Analyzing Inter-Dependencies to Evaluate Cooperation in Human-AI Teaming AAAI 2026 Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint) IJCAI 2025 On the self-verification limitations of large language models on reasoning and planning tasks ICLR 2025 Chain of Thoughtlessness? An Analysis of CoT in Planning NeurIPS 2024 Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning AAAI 2024 Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks ICML 2024 ‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation AAAI 2024 Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract) IJCAI 2023 Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning NeurIPS 2023 On the Planning Abilities of Large Language Models - A Critical Investigation NeurIPS 2023 PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change NeurIPS 2023 Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences ICLR 2023 Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations ICLR 2022 Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022 On the Computational Complexity of Model Reconciliations IJCAI 2022 Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems AAAI 2022 A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 2021 RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions AAAI 2021 Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation NeurIPS 2021 Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning AAAI 2020 The Emerging Landscape of Explainable Automated Planning & Decision Making IJCAI 2020 A Unified Framework for Planning in Adversarial and Cooperative Environments AAAI 2019 Balancing Explicability and Explanations in Human-Aware Planning IJCAI 2019 Model-Free Model Reconciliation IJCAI 2019 Why Can’t You Do That HAL? Explaining Unsolvability of Planning Tasks IJCAI 2019 Extracting Action Sequences from Texts Based on Deep Reinforcement Learning IJCAI 2018 Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations IJCAI 2018 Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy IJCAI 2017 Action-Model Acquisition from Noisy Plan Traces IJCAI 2013 Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment IJCAI 2013 Refining Incomplete Planning Domain Models through Plan Traces IJCAI 2013 Synthesizing Robust Plans under Incomplete Domain Models NeurIPS 2013 Action-Model Based Multi-agent Plan Recognition NeurIPS 2012