Capability Models and Their Applications in Planning. - Yu Zhang 055; Sarath Sreedharan; Subbarao Kambhampati (AAMAS, 2015)

A Formal Analysis of Required Cooperation in Multi-Agent Planning. - Yu Zhang 055; Sarath Sreedharan; Subbarao Kambhampati (ICAPS, 2016)

Compliant Conditions for Polynomial Time Approximation of Operator Counts. - Tathagata Chakraborti; Sarath Sreedharan; Sailik Sengupta; T. K. Satish Kumar; Subbarao Kambhampati (SOCS, 2016)

RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning. - Sailik Sengupta; Tathagata Chakraborti; Sarath Sreedharan; Satya Gautam Vadlamudi; Subbarao Kambhampati (AAAI Fall Symposia, 2017)

Balancing Explicability and Explanation in Human-Aware Planning. - Sarath Sreedharan; Tathagata Chakraborti; Subbarao Kambhampati (AAAI Fall Symposia, 2017)

Explanations as Model Reconciliation - A Multi-Agent Perspective. - Sarath Sreedharan; Tathagata Chakraborti; Subbarao Kambhampati (AAAI Fall Symposia, 2017)

Plan explicability and predictability for robot task planning. - Yu Zhang 055; Sarath Sreedharan; Anagha Kulkarni 002; Tathagata Chakraborti; Hankz Hankui Zhuo; Subbarao Kambhampati (ICRA, 2017)

Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy. - Tathagata Chakraborti; Sarath Sreedharan; Yu Zhang 055; Subbarao Kambhampati (IJCAI, 2017)

Robust planning with incomplete domain models. - Tuan Nguyen; Sarath Sreedharan; Subbarao Kambhampati (Artif. Intell., 2017)

Alternative Modes of Interaction in Proximal Human-in-the-Loop Operation of Robots. - Tathagata Chakraborti; Sarath Sreedharan; Anagha Kulkarni 002; Subbarao Kambhampati (CoRR, 2017)

Explanation Generation as Model Reconciliation in Multi-Model Planning. - Tathagata Chakraborti; Sarath Sreedharan; Yu Zhang 055; Subbarao Kambhampati (CoRR, 2017)

Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation. - Sarath Sreedharan; Tathagata Chakraborti; Subbarao Kambhampati (ICAPS, 2018)

Explicability versus Explanations in Human-Aware Planning. - Tathagata Chakraborti; Sarath Sreedharan; Subbarao Kambhampati (AAMAS, 2018)

Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations. - Sarath Sreedharan; Siddharth Srivastava 001; Subbarao Kambhampati (IJCAI, 2018)

Projection-Aware Task Planning and Execution for Human-in-the-Loop Operation of Robots in a Mixed-Reality Workspace. - Tathagata Chakraborti; Sarath Sreedharan; Anagha Kulkarni 002; Subbarao Kambhampati (IROS, 2018)

Plan Explanations as Model Reconciliation - An Empirical Study. - Tathagata Chakraborti; Sarath Sreedharan; Sachin Grover; Subbarao Kambhampati (CoRR, 2018)

Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. - Sarath Sreedharan; Siddharth Srivastava 001; Subbarao Kambhampati (CoRR, 2018)

Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior. - Tathagata Chakraborti; Anagha Kulkarni 002; Sarath Sreedharan; David E. Smith 001; Subbarao Kambhampati (ICAPS, 2019)

Plan Explanations as Model Reconciliation. - Tathagata Chakraborti; Sarath Sreedharan; Sachin Grover; Subbarao Kambhampati (HRI, 2019)

Towards Understanding User Preferences for Explanation Types in Model Reconciliation. - Zahra Zahedi; Alberto Olmo Hernandez; Tathagata Chakraborti; Sarath Sreedharan; Subbarao Kambhampati (HRI, 2019)

Balancing Explicability and Explanations in Human-Aware Planning. - Tathagata Chakraborti; Sarath Sreedharan; Subbarao Kambhampati (IJCAI, 2019)

Model-Free Model Reconciliation. - Sarath Sreedharan; Alberto Olmo Hernandez; Aditya Prasad Mishra; Subbarao Kambhampati (IJCAI, 2019)

Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks. - Sarath Sreedharan; Siddharth Srivastava 001; David E. Smith 001; Subbarao Kambhampati (IJCAI, 2019)

Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning. - Sarath Sreedharan; Tathagata Chakraborti; Christian Muise; Subbarao Kambhampati (CoRR, 2019)

Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice. - Sarath Sreedharan; Siddharth Srivastava 001; David E. Smith 001; Subbarao Kambhampati (CoRR, 2019)

Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. - Sarath Sreedharan; Tathagata Chakraborti; Christian Muise; Subbarao Kambhampati (AAAI, 2020)

- D3WA+ - A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning. - Sarath Sreedharan; Tathagata Chakraborti; Christian Muise; Yasaman Khazaeni; Subbarao Kambhampati (ICAPS, 2020)

TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions. - Sarath Sreedharan; Siddharth Srivastava 001; Subbarao Kambhampati (ICAPS, 2020)

The Emerging Landscape of Explainable Automated Planning & Decision Making. - Tathagata Chakraborti; Sarath Sreedharan; Subbarao Kambhampati (IJCAI, 2020)

Designing Environments Conducive to Interpretable Robot Behavior. - Anagha Kulkarni 002; Sarath Sreedharan; Sarah Keren; Tathagata Chakraborti; David E. Smith 001; Subbarao Kambhampati (IROS, 2020)

Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators. - Sarath Sreedharan; Utkarsh Soni; Mudit Verma; Siddharth Srivastava 001; Subbarao Kambhampati (CoRR, 2020)

The Emerging Landscape of Explainable AI Planning and Decision Making. - Tathagata Chakraborti; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2020)

Explainable Composition of Aggregated Assistants. - Sarath Sreedharan; Tathagata Chakraborti; Yara Rizk; Yasaman Khazaeni (CoRR, 2020)

A Bayesian Account of Measures of Interpretability in Human-AI Interaction. - Sarath Sreedharan; Anagha Kulkarni 002; Tathagata Chakraborti; David E. Smith 001; Subbarao Kambhampati (CoRR, 2020)

RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. - Karthik Valmeekam; Sarath Sreedharan; Sailik Sengupta; Subbarao Kambhampati (AAAI, 2021)

A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction. - Sarath Sreedharan; Anagha Kulkarni 002; David E. Smith 001; Subbarao Kambhampati (IJCAI, 2021)

Not all users are the same: Providing personalized explanations for sequential decision making problems. - Utkarsh Soni; Sarath Sreedharan; Subbarao Kambhampati (IROS, 2021)

Foundations of explanations as model reconciliation. - Sarath Sreedharan; Tathagata Chakraborti; Subbarao Kambhampati (Artif. Intell., 2021)

Using state abstractions to compute personalized contrastive explanations for AI agent behavior. - Sarath Sreedharan; Siddharth Srivastava 001; Subbarao Kambhampati (Artif. Intell., 2021)

A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI. - Sarath Sreedharan; Anagha Kulkarni 002; David E. Smith 001; Subbarao Kambhampati (CoRR, 2021)

Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction. - Zahra Zahedi; Mudit Verma; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2021)

GPT3-to-plan: Extracting plans from text using GPT-3. - Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2021)

Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. - Subbarao Kambhampati; Sarath Sreedharan; Mudit Verma; Yantian Zha; Lin Guan 003 (AAAI, 2022)

RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. - Karthik Valmeekam; Sarath Sreedharan; Sailik Sengupta; Subbarao Kambhampati (ICAPS, 2022)

Modeling the Interplay between Human Trust and Monitoring. - Zahra Zahedi; Sarath Sreedharan; Mudit Verma; Subbarao Kambhampati (HRI, 2022)

Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations. - Sarath Sreedharan; Utkarsh Soni; Mudit Verma; Siddharth Srivastava 001; Subbarao Kambhampati (ICLR, 2022)

Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. - Lin Guan 003; Sarath Sreedharan; Subbarao Kambhampati (ICML, 2022)

On the Computational Complexity of Model Reconciliations. - Sarath Sreedharan; Pascal Bercher; Subbarao Kambhampati (IJCAI, 2022)

A Mental-Model Centric Landscape of Human-AI Symbiosis. - Zahra Zahedi; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2022)

Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change). - Karthik Valmeekam; Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2022)

Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. - Utkarsh Soni; Sarath Sreedharan; Mudit Verma; Lin Guan 003; Matthew Marquez; Subbarao Kambhampati (CoRR, 2022)

Human-Aware AI - A Foundational Framework for Human-AI Interaction. - Sarath Sreedharan (AAAI, 2023)

Planning for Attacker Entrapment in Adversarial Settings. - Brittany Cates; Anagha Kulkarni 002; Sarath Sreedharan (ICAPS, 2023)

Generalizing Action Justification and Causal Links to Policies. - Sarath Sreedharan; Christian Muise; Subbarao Kambhampati (ICAPS, 2023)

Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction. - Zahra Zahedi; Mudit Verma; Sarath Sreedharan; Subbarao Kambhampati (HRI, 2023)

KiL 2023 : 3rd International Workshop on Knowledge-infused Learning. - Manas Gaur; Efthymia Tsamoura; Sarath Sreedharan; Sudip Mittal (KDD, 2023)

Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. - Lin Guan 003; Karthik Valmeekam; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates. - Sarath Sreedharan; Michael Katz 001 (NeurIPS, 2023)

PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. - Karthik Valmeekam; Matthew Marquez; Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

On the Planning Abilities of Large Language Models - A Critical Investigation. - Karthik Valmeekam; Matthew Marquez; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

Explainable AI for Prioritizing and Deploying Defenses for Cyber-Physical System Resiliency. - Indrajit Ray; Sarath Sreedharan; Rakesh Podder; Shadaab Kawnain Bashir; Indrakshi Ray (TPS-ISA, 2023)

A Mental Model Based Theory of Trust. - Zahra Zahedi; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2023)

Goal Alignment: A Human-Aware Account of Value Alignment Problem. - Malek Mechergui; Sarath Sreedharan (CoRR, 2023)

On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). - Karthik Valmeekam; Sarath Sreedharan; Matthew Marquez; Alberto Olmo Hernandez; Subbarao Kambhampati (CoRR, 2023)

TOBY: A Tool for Exploring Data in Academic Survey Papers. - Tathagata Chakraborti; Jungkoo Kang; Christian Muise; Sarath Sreedharan; Michael E. Walker; Daniel Szafir; Tom Williams 001 (CoRR, 2023)

Towards More Likely Models for AI Planning. - Turgay Caglar; Sirine Belhaj; Tathagata Chakraborti; Michael Katz 001; Sarath Sreedharan (CoRR, 2023)

Human-aware AI - A foundational framework for human-AI interaction. - Sarath Sreedharan (AI Mag., 2023)

Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning. - Turgay Caglar; Sirine Belhaj; Tathagata Chakraborti; Michael Katz 001; Sarath Sreedharan (AAAI, 2024)

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI. - Malek Mechergui; Sarath Sreedharan (AAAI, 2024)

A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract). - Dylan Pallickara; Sarath Sreedharan (AAAI, 2024)

HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry. - Turgay Caglar; Sarath Sreedharan (AAMAS, 2024)

Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch. - Malek Mechergui; Sarath Sreedharan (NeurIPS, 2024)

Resiliency Graphs: Modelling the Interplay between Cyber Attacks and System Failures through AI Planning. - Shadaab Kawnain Bashir; Rakesh Podder; Sarath Sreedharan; Indrakshi Ray; Indrajit Ray (TPS-ISA, 2024)

Planning with mental models - Balancing explanations and explicability. - Sarath Sreedharan; Tathagata Chakraborti; Christian Muise; Subbarao Kambhampati (Artif. Intell., 2024)

Handling Reward Misspecification in the Presence of Expectation Mismatch. - Sarath Sreedharan; Malek Mechergui (CoRR, 2024)

Reducing Human-Robot Goal State Divergence with Environment Design. - Kelsey Sikes; Sarah Keren; Sarath Sreedharan (CoRR, 2024)

Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI. - Silvia Tulli; Stylianos Loukas Vasileiou; Sarath Sreedharan (CoRR, 2024)

Explainable Human-AI Interaction: A Planning Perspective. - Sarath Sreedharan; Anagha Kulkarni 002; Subbarao Kambhampati (CoRR, 2024)

Explainable AI for Sequential Decision Making (Dagstuhl Seminar 24372). - Hendrik Baier; Mark T. Keane; Sarath Sreedharan; Silvia Tulli; Abhinav Verma; Stylianos Loukas Vasileiou (Dagstuhl Reports, 2024)

HuTCH: Human Teachable Concept Highlighter for Post-hoc Visual Explanations. - Erfan Mirhaji; Nikhil Krishnaswamy; Jill Zarestky; Lisa Mason; Sarath Sreedharan; Nathaniel Blanchard (AIED (5), 2025)

Excuse My Explanations: Integrating Excuses and Model Reconciliation for Actionable Explanations. - Turgay Caglar; Zahra Zahedi; Sarath Sreedharan (HRI, 2025)

Goals vs. Rewards: Towards a Comparative Study of Objective Specification Mechanisms. - Septia Rani; Serena Booth; Sarath Sreedharan (HRI, 2025)

Who Am I Dealing With? Explaining the Designer's Hidden Intentions. - Turgay Caglar; Sarath Sreedharan; Mor Vered (AAMAS, 2025)

SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs. - Rakesh Podder; Turgay Caglar; Shadaab Kawnain Bashir; Sarath Sreedharan; Indrajit Ray; Indrakshi Ray (SACMAT, 2025)

Explain it as simple as possible, but no simpler - Explanation via model simplification for addressing inferential gap. - Sarath Sreedharan; Siddharth Srivastava 001; Subbarao Kambhampati (Artif. Intell., 2025)

Inferring Implicit Goals Across Differing Task Models. - Silvia Tulli; Stylianos Loukas Vasileiou; Mohamed Chetouani; Sarath Sreedharan (CoRR, 2025)

Make Planning Research Rigorous Again! - Michael Katz 001; Harsha Kokel; Christian Muise; Shirin Sohrabi; Sarath Sreedharan (CoRR, 2025)