← Authors

Subbarao Kambhampati

33 papers · 2012–2026 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (35) πŸ† Keyword Champion 🌱 Topic Pioneer 🀝 Dynamic Duo (17) πŸ”¬ Deep Specialist (12) πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (131) πŸ’Ž Century Club (32) πŸ”₯ Unstoppable (9) ❓ The Questioner (3) ⚑ Prolific Year (5) πŸš€ Conference Pioneer

Conferences

IJCAI (14) AAAI (7) NIPS (7) ICLR (3) ICML (2)

Top co-authors

Sarath Sreedharan (17) Lin Guan (7) Karthik Valmeekam (7) Siddharth Srivastava (5) Mudit Verma (4) Hankz Hankui Zhuo (4) Tathagata Chakraborti (4) Kaya Stechly (3) David Smith (2) Sailik Sengupta (2)

Keywords

automated planning (8) explanation generation (4) large language model (4) explainable ai (3) reinforcement learning (3) contrastive explanation (3) model reconciliation (3) human-aware planning (3) multi-agent system (3) human-ai interaction (2) symbolic planning (2) explainable planning (2) symbolic reasoning (1) sequential decision-making (1) hierarchical planning (1) decision making (1) multi-agent negotiation (1) natural language processing (1) question answering (1) bayesian inference (1)

Papers

Who Is Helping Whom? Analyzing Inter-Dependencies to Evaluate Cooperation in Human-AI Teaming AAAI 2026
On the self-verification limitations of large language models on reasoning and planning tasks ICLR 2025
Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint) IJCAI 2025
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning AAAI 2024
Chain of Thoughtlessness? An Analysis of CoT in Planning NIPS 2024
Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks ICML 2024
β€˜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
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences ICLR 2023
On the Planning Abilities of Large Language Models - A Critical Investigation NIPS 2023
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning NIPS 2023
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change NIPS 2023
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems AAAI 2022
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations ICLR 2022
On the Computational Complexity of Model Reconciliations IJCAI 2022
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 NIPS 2021
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 2021
The Emerging Landscape of Explainable Automated Planning & Decision Making IJCAI 2020
Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning AAAI 2020
Model-Free Model Reconciliation IJCAI 2019
Balancing Explicability and Explanations in Human-Aware Planning IJCAI 2019
Why Can’t You Do That HAL? Explaining Unsolvability of Planning Tasks IJCAI 2019
A Unified Framework for Planning in Adversarial and Cooperative Environments AAAI 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
Synthesizing Robust Plans under Incomplete Domain Models NIPS 2013
Action-Model Acquisition from Noisy Plan Traces IJCAI 2013
Refining Incomplete Planning Domain Models through Plan Traces IJCAI 2013
Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment IJCAI 2013
Action-Model Based Multi-agent Plan Recognition NIPS 2012