← Authors

Sarath Sreedharan

28 papers · 2017–2026 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (28) πŸ† Grand Slam πŸ”¬ Deep Specialist (14) 🀝 Dynamic Duo (17) πŸ† Keyword Champion (3) 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (117) πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (9) ❓ The Questioner (2) ⚑ Prolific Year (5)

Conferences

AAAI (11) IJCAI (10) NIPS (5) ICLR (1) ICML (1)

Top co-authors

Subbarao Kambhampati (17) Tathagata Chakraborti (4) Siddharth Srivastava (4) Lin Guan (3) Karthik Valmeekam (3) David Smith (2) Pascal Bercher (2) Mudit Verma (2) Matthew Marquez (2) Michael Katz (2)

Keywords

automated planning (7) reinforcement learning (4) human-aware planning (4) large language model (4) explanation generation (4) markov decision process (3) model reconciliation (3) goal alignment (3) explainable ai (3) explainable planning (3) human-ai interaction (3) symbolic model (2) sequential decision-making (2) contrastive explanation (2) computational complexity (1) decision making (1) knowledge representation (1) bayesian inference (1) plan generation (1) hierarchical reinforcement learning (1)

Papers

Mental Model-based Generation of Lies for Insider Threat Modeling AAAI 2026
Inferring Implicit Goals Across Differing Task Models AAAI 2026
Reducing Goal State Divergence with Environment Design AAAI 2026
Explanations for Sequential Decision-Making – an Overview AAAI 2026
Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint) IJCAI 2025
A Survey on Model Repair in AI Planning IJCAI 2025
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI AAAI 2024
A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract) AAAI 2024
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NIPS 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning AAAI 2024
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates NIPS 2023
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change NIPS 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
Human-Aware AI – A Foundational Framework for Human-AI Interaction AAAI 2023
On the Computational Complexity of Model Reconciliations IJCAI 2022
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
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions AAAI 2021
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 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
Why Can’t You Do That HAL? Explaining Unsolvability of Planning Tasks IJCAI 2019
Balancing Explicability and Explanations in Human-Aware Planning IJCAI 2019
Model-Free Model Reconciliation IJCAI 2019
Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations IJCAI 2018
Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy IJCAI 2017