Sarath Sreedharan
28 papers · 2017–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (7)
π
Cross-Pollinator
(7)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(28)
π
Grand Slam
π¬
Deep Specialist
(14)
π€
Dynamic Duo
(17)
π
Keyword Champion
(3)
π±
Topic Pioneer
ποΈ
Keyword Collector
(117)
π
Century Club
(24)
π₯
Unstoppable
(9)
β
The Questioner
(2)
β‘
Prolific Year
(5)
Conferences
AAAI (11)
IJCAI (10)
NIPS (5)
ICLR (1)
ICML (1)
Top co-authors
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 β an Overview
AAAI 2026
Explain It as Simple as Possible, but No Simpler β 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 β 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 Canβt 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