Sarath Sreedharan

112 papers A* 44A 8B 1C 1Journal 50Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Explanations for Sequential Decision-Making - an Overview. AAAI Hendrik Baier, Mark T. Keane, Sarath Sreedharan, Silvia Tulli, Abhinav Verma
2026	J	`jnl`	Implications of AI Involvement for Trust in Expert Advisory Workflows Under Epistemic Dependence. CoRR Dennis Kim, Roya Daneshi, Bruce Draper, Sarath Sreedharan
2026	A*	`conf`	Inferring Implicit Goals Across Differing Task Models. AAAI Silvia Tulli, Stylianos Loukas Vasileiou, Mohamed Chetouani, Sarath Sreedharan
2026	A*	`conf`	Mental Model-based Generation of Lies for Insider Threat Modeling. AAAI Brittany Cates, Sarath Sreedharan
2026	J	`jnl`	Nested Training for Mutual Adaptation in Human-AI Teaming. CoRR Upasana Biswas, Durgesh Kalwar, Subbarao Kambhampati, Sarath Sreedharan
2026	A*	`conf`	Reducing Goal State Divergence with Environment Design. AAAI Kelsey Sikes, Sarah Keren, Sarath Sreedharan
2025	A*	`conf`	A Survey on Model Repair in AI Planning. IJCAI Pascal Bercher, Sarath Sreedharan, Mauro Vallati
2025	A*	`conf`	Excuse My Explanations: Integrating Excuses and Model Reconciliation for Actionable Explanations. HRI Turgay Caglar, Zahra Zahedi, Sarath Sreedharan
2025	A*	`conf`	Explain It as Simple as Possible, but No Simpler - Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint). IJCAI Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
2025	J	`jnl`	Explain it as simple as possible, but no simpler - Explanation via model simplification for addressing inferential gap. Artif. Intell. Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
2025	A*	`conf`	Goals vs. Rewards: Towards a Comparative Study of Objective Specification Mechanisms. HRI Septia Rani, Serena Booth, Sarath Sreedharan
2025	—	`conf`	HuTCH: Human Teachable Concept Highlighter for Post-hoc Visual Explanations. AIED (5) Erfan Mirhaji, Nikhil Krishnaswamy, Jill Zarestky, Lisa Mason, Sarath Sreedharan, Nathaniel Blanchard
2025	J	`jnl`	Inferring Implicit Goals Across Differing Task Models. CoRR Silvia Tulli, Stylianos Loukas Vasileiou, Mohamed Chetouani, Sarath Sreedharan
2025	J	`jnl`	Make Planning Research Rigorous Again! CoRR Michael Katz, Harsha Kokel, Christian Muise, Shirin Sohrabi, Sarath Sreedharan
2025	—	`conf`	On the Role of Domain Experts in Creating Effective Tutoring Systems. AIED Companion (1) Sarath Sreedharan, Kelsey Sikes, Nathaniel Blanchard, Lisa Mason, Nikhil Krishnaswamy, Jill Zarestky
2025	J	`jnl`	On the Role of Domain Experts in Creating Effective Tutoring Systems. CoRR Sarath Sreedharan, Kelsey Sikes, Nathaniel Blanchard, Lisa Mason, Nikhil Krishnaswamy, Jill Zarestky
2025	C	`conf`	SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs. SACMAT Rakesh Podder, Turgay Caglar, Shadaab Kawnain Bashir, Sarath Sreedharan, Indrajit Ray, Indrakshi Ray
2025	J	`jnl`	SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs. CoRR Rakesh Podder, Turgay Caglar, Shadaab Kawnain Bashir, Sarath Sreedharan, Indrajit Ray, Indrakshi Ray
2025	J	`jnl`	Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game. CoRR Michael Katz, Harsha Kokel, Sarath Sreedharan
2025	—	`conf`	Using Human-Aware AI as a Framework to Achieve Intent Alignment. CAI Sarath Sreedharan
2025	A	`conf`	Who Am I Dealing With? Explaining the Designer's Hidden Intentions. AAMAS Turgay Caglar, Sarath Sreedharan, Mor Vered
2024	A*	`conf`	A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract). AAAI Dylan Pallickara, Sarath Sreedharan
2024	A*	`conf`	Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning. AAAI Turgay Caglar, Sirine Belhaj, Tathagata Chakraborti, Michael Katz, Sarath Sreedharan
2024	A*	`conf`	Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch. NeurIPS Malek Mechergui, Sarath Sreedharan
2024	J	`jnl`	Explainable AI for Sequential Decision Making (Dagstuhl Seminar 24372). Dagstuhl Reports Hendrik Baier, Mark T. Keane, Sarath Sreedharan, Silvia Tulli, Abhinav Verma, Stylianos Loukas Vasileiou
2024	J	`jnl`	Explainable Human-AI Interaction: A Planning Perspective. CoRR Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati
2024	A*	`conf`	Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI. AAAI Malek Mechergui, Sarath Sreedharan
2024	A	`conf`	HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry. AAMAS Turgay Caglar, Sarath Sreedharan
2024	J	`jnl`	Handling Reward Misspecification in the Presence of Expectation Mismatch. CoRR Sarath Sreedharan, Malek Mechergui
2024	J	`jnl`	Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI. CoRR Silvia Tulli, Stylianos Loukas Vasileiou, Sarath Sreedharan
2024	J	`jnl`	Planning with mental models - Balancing explanations and explicability. Artif. Intell. Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati
2024	J	`jnl`	Reducing Human-Robot Goal State Divergence with Environment Design. CoRR Kelsey Sikes, Sarah Keren, Sarath Sreedharan
2024	—	`conf`	Resiliency Graphs: Modelling the Interplay between Cyber Attacks and System Failures through AI Planning. TPS-ISA Shadaab Kawnain Bashir, Rakesh Podder, Sarath Sreedharan, Indrakshi Ray, Indrajit Ray
2023	J	`jnl`	A Mental Model Based Theory of Trust. CoRR Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati
2023	—	`conf`	Explainable AI for Prioritizing and Deploying Defenses for Cyber-Physical System Resiliency. TPS-ISA Indrajit Ray, Sarath Sreedharan, Rakesh Podder, Shadaab Kawnain Bashir, Indrakshi Ray
2023	A*	`conf`	Generalizing Action Justification and Causal Links to Policies. ICAPS Sarath Sreedharan, Christian Muise, Subbarao Kambhampati
2023	J	`jnl`	Goal Alignment: A Human-Aware Account of Value Alignment Problem. CoRR Malek Mechergui, Sarath Sreedharan
2023	A	`conf`	Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI. AAMAS Malek Mechergui, Sarath Sreedharan
2023	A*	`conf`	Human-Aware AI - A Foundational Framework for Human-AI Interaction. AAAI Sarath Sreedharan
2023	A*	`conf`	KiL 2023 : 3rd International Workshop on Knowledge-infused Learning. KDD Manas Gaur, Efthymia Tsamoura, Sarath Sreedharan, Sudip Mittal
2023	A*	`conf`	Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. NeurIPS Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
2023	J	`jnl`	Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. CoRR Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
2023	J	`jnl`	On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). CoRR Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez, Alberto Olmo Hernandez, Subbarao Kambhampati
2023	A*	`conf`	On the Planning Abilities of Large Language Models - A Critical Investigation. NeurIPS Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati
2023	J	`jnl`	On the Planning Abilities of Large Language Models - A Critical Investigation. CoRR Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati
2023	A*	`conf`	Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates. NeurIPS Sarath Sreedharan, Michael Katz
2023	A*	`conf`	PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. NeurIPS Karthik Valmeekam, Matthew Marquez, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati
2023	A*	`conf`	Planning for Attacker Entrapment in Adversarial Settings. ICAPS Brittany Cates, Anagha Kulkarni, Sarath Sreedharan
2023	J	`jnl`	Planning for Attacker Entrapment in Adversarial Settings. CoRR Brittany Cates, Anagha Kulkarni, Sarath Sreedharan
2023	J	`jnl`	TOBY: A Tool for Exploring Data in Academic Survey Papers. CoRR Tathagata Chakraborti, Jungkoo Kang, Christian Muise, Sarath Sreedharan, Michael E. Walker, Daniel Szafir, Tom Williams
2023	J	`jnl`	Towards More Likely Models for AI Planning. CoRR Turgay Caglar, Sirine Belhaj, Tathagata Chakraborti, Michael Katz, Sarath Sreedharan
2023	A*	`conf`	Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction. HRI Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati
2022	J	`jnl`	A Mental-Model Centric Landscape of Human-AI Symbiosis. CoRR Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati
2022	A*	`conf`	Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations. ICLR Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati
2022	J	`jnl`	Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change). CoRR Karthik Valmeekam, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati
2022	A*	`conf`	Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. ICML Lin Guan, Sarath Sreedharan, Subbarao Kambhampati
2022	J	`jnl`	Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. CoRR Lin Guan, Sarath Sreedharan, Subbarao Kambhampati
2022	A*	`conf`	Modeling the Interplay between Human Trust and Monitoring. HRI Zahra Zahedi, Sarath Sreedharan, Mudit Verma, Subbarao Kambhampati
2022	A*	`conf`	On the Computational Complexity of Model Reconciliations. IJCAI Sarath Sreedharan, Pascal Bercher, Subbarao Kambhampati
2022	A*	`conf`	RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. ICAPS Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
2022	A*	`conf`	Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. AAAI Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan
2022	J	`jnl`	Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. CoRR Utkarsh Soni, Sarath Sreedharan, Mudit Verma, Lin Guan, Matthew Marquez, Subbarao Kambhampati
2021	A*	`conf`	A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction. IJCAI Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati
2021	J	`jnl`	A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI. CoRR Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati
2021	J	`jnl`	Foundations of explanations as model reconciliation. Artif. Intell. Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati
2021	J	`jnl`	GPT3-to-plan: Extracting plans from text using GPT-3. CoRR Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati
2021	A	`conf`	Not all users are the same: Providing personalized explanations for sequential decision making problems. IROS Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati
2021	J	`jnl`	Not all users are the same: Providing personalized explanations for sequential decision making problems. CoRR Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati
2021	A*	`conf`	RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. AAAI Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
2021	J	`jnl`	Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. CoRR Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan
2021	J	`jnl`	Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction. CoRR Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati
2021	J	`jnl`	Using state abstractions to compute personalized contrastive explanations for AI agent behavior. Artif. Intell. Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
2020	A*	`conf`	- D3WA+ - A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning. ICAPS Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Yasaman Khazaeni, Subbarao Kambhampati
2020	J	`jnl`	A Bayesian Account of Measures of Interpretability in Human-AI Interaction. CoRR Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
2020	J	`jnl`	Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators. CoRR Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati
2020	A	`conf`	Designing Environments Conducive to Interpretable Robot Behavior. IROS Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
2020	J	`jnl`	Designing Environments Conducive to Interpretable Robot Behavior. CoRR Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
2020	J	`jnl`	Explainable Composition of Aggregated Assistants. CoRR Sarath Sreedharan, Tathagata Chakraborti, Yara Rizk, Yasaman Khazaeni
2020	A*	`conf`	Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. AAAI Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati
2020	J	`jnl`	RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. CoRR Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
2020	A*	`conf`	TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions. ICAPS Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
2020	J	`jnl`	The Emerging Landscape of Explainable AI Planning and Decision Making. CoRR Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
2020	A*	`conf`	The Emerging Landscape of Explainable Automated Planning & Decision Making. IJCAI Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
2019	A*	`conf`	Balancing Explicability and Explanations in Human-Aware Planning. IJCAI Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
2019	A*	`conf`	Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior. ICAPS Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David E. Smith, Subbarao Kambhampati
2019	A*	`conf`	Model-Free Model Reconciliation. IJCAI Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati
2019	J	`jnl`	Model-Free Model Reconciliation. CoRR Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati
2019	A*	`conf`	Plan Explanations as Model Reconciliation. HRI Tathagata Chakraborti, Sarath Sreedharan, Sachin Grover, Subbarao Kambhampati
2019	J	`jnl`	Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning. CoRR Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati
2019	A*	`conf`	Towards Understanding User Preferences for Explanation Types in Model Reconciliation. HRI Zahra Zahedi, Alberto Olmo Hernandez, Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
2019	A*	`conf`	Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks. IJCAI Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati
2019	J	`jnl`	Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice. CoRR Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati
2018	A	`conf`	Explicability versus Explanations in Human-Aware Planning. AAMAS Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
2018	J	`jnl`	Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior. CoRR Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David E. Smith, Subbarao Kambhampati
2018	A*	`conf`	Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation. ICAPS Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati
2018	A*	`conf`	Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations. IJCAI Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
2018	J	`jnl`	Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. CoRR Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
2018	J	`jnl`	Plan Explanations as Model Reconciliation - An Empirical Study. CoRR Tathagata Chakraborti, Sarath Sreedharan, Sachin Grover, Subbarao Kambhampati
2018	A	`conf`	Projection-Aware Task Planning and Execution for Human-in-the-Loop Operation of Robots in a Mixed-Reality Workspace. IROS Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati
2017	J	`jnl`	Alternative Modes of Interaction in Proximal Human-in-the-Loop Operation of Robots. CoRR Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati
2017	—	`conf`	Balancing Explicability and Explanation in Human-Aware Planning. AAAI Fall Symposia Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati
2017	J	`jnl`	Balancing Explicability and Explanation in Human-Aware Planning. CoRR Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati
2017	J	`jnl`	Explanation Generation as Model Reconciliation in Multi-Model Planning. CoRR Tathagata Chakraborti, Sarath Sreedharan, Yu Zhang, Subbarao Kambhampati
2017	—	`conf`	Explanations as Model Reconciliation - A Multi-Agent Perspective. AAAI Fall Symposia Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati
2017	A*	`conf`	Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy. IJCAI Tathagata Chakraborti, Sarath Sreedharan, Yu Zhang, Subbarao Kambhampati
2017	A*	`conf`	Plan explicability and predictability for robot task planning. ICRA Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, Subbarao Kambhampati
2017	—	`conf`	RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning. AAAI Fall Symposia Sailik Sengupta, Tathagata Chakraborti, Sarath Sreedharan, Satya Gautam Vadlamudi, Subbarao Kambhampati
2017	J	`jnl`	Robust planning with incomplete domain models. Artif. Intell. Tuan Nguyen, Sarath Sreedharan, Subbarao Kambhampati
2016	A*	`conf`	A Formal Analysis of Required Cooperation in Multi-Agent Planning. ICAPS Yu Zhang, Sarath Sreedharan, Subbarao Kambhampati
2016	B	`conf`	Compliant Conditions for Polynomial Time Approximation of Operator Counts. SOCS Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, Subbarao Kambhampati
2016	J	`jnl`	Compliant Conditions for Polynomial Time Approximation of Operator Counts. CoRR Tathagata Chakraborti, Sarath Sreedharan, Sailik Sengupta, T. K. Satish Kumar, Subbarao Kambhampati
2015	A	`conf`	Capability Models and Their Applications in Planning. AAMAS Yu Zhang, Sarath Sreedharan, Subbarao Kambhampati