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2024
- Resiliency Graphs: Modelling the Interplay between Cyber Attacks and System Failures through AI PlanningShadaab Kawnain Bashir, Rakesh Podder, Sarath Sreedharan, Indrakshi Ray, and Indrajit Ray - IEEE TPS 2024. (Won Best Paper Award)Other
- Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation MismatchMalek Mechergui, Sarath Sreedharan - NeurIPS 2024.Human-Aware AIValue Alignment
- Planning with Mental Models – Balancing Explanations and ExplicabilitySarath Sreedharan, Tathagata Chakraborti, Christian Muise, and Subbarao Kambhampati - Artificial Intelligence Journal. July 2024 (Accepted)Human-Aware AIXAI
- HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry.Turguy Caglar, and Sarath Sreedharan - AAMAS. 2024Human-Aware AI
- Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning.Turguy Caglar, Sirine Belhaj, Michael Katz, Tathagata Chakraborti, and Sarath Sreedharan - AAAI. 2024Planning and Learning
- Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI.Malek Mechergui and Sarath Sreedharan - AAAI. 2024Human-Aware AIValue Alignment
- Traversing the Linguistic Divide: Aligning Semantically Equivalent Fluents Through Model RefinementKelsey Sikes, Morgan Fine-Morris, Sarath Sreedharan and Mark Roberts - KEPS Workshop ICAPS 2024Planning and Learning
- Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AISilvia Tulli, Stylianos Loukas Vasileiou, Sarath Sreedharan - HAXP Workshop ICAPS 2024Human-Aware AIValue Alignment
- Reducing Human-Robot Goal State Divergence with Environment DesignKelsey Sykes, Sarah Keren, Sarath Sreedharan - HAXP Workshop ICAPS 2024Human-Aware AIValue Alignment
2023
- Human-Aware AI – A Foundational Framework for Human-AI Interaction.Sarath Sreedharan - Published in AI Magazine 2023XAIValue AlignmentHuman-Aware AI
- Optimistic Exploration in Reinforcement Learning Using Symbolic Model EstimatesSarath Sreedharan, M. Katz - NeurIPS 2023Planning and Learning
- On the Planning Abilities of Large Language Models -- A Critical InvestigationKarthik Valmeekam, M. Marquez, Sarath Sreedharan, Subbarao Kambhampati - NeurIPS 2023 (Accepted as Spotlight)Planning and Learning
- Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task PlanningL. Guan*, Karthik Valmeekam*, Sarath Sreedharan, Subbarao Kambhampati - NeurIPS 2023Planning and Learning
- PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, M. Marquez, A. Olmo, Sarath Sreedharan, Subbarao Kambhampati - NeurIPS 2023 (Benchmark Track)Planning and Learning
- Human-Aware AI – A Foundational Framework for Human-AI InteractionSarath Sreedharan - AAAI 2023 (New Faculty Track)XAIValue AlignmentHuman-Aware AI
- Generalizing Action Justification and Causal Links to PoliciesSarath Sreedharan, Christian Muise, Subbarao Kambhampati - ICAPS 2023XAI
- Planning for Attacker Entrapment in Adversarial SettingsB. Cates, Anagha Kulkarni, Sarath Sreedharan - ICAPS 2023Other
- Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AIM. Mechergui, Sarath Sreedharan - AAMAS 2023 (Extended Abstract)Value Alignment
- Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot InteractionZahra Zahedi, M. Verma, Sarath Sreedharan, Subbarao Kambhampati - HRI 2023Other
- Explicable or Optimal: Trust Aware Planning in Iterated Human Robot InteractionZahra Zahedi, Sarath Sreedharan, Karthik Valmeekam, Subbarao Kambhampati - ICRA 2023 (Accepted as a stand-alone video)OtherXAI
- A Mental Model Based Theory of TrustZahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati - XAI workshop at IJCAI 2023Human-Aware AIOther
- A Mental-Model Centric Landscape of Human-AI SymbiosisZahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati - R2HCAI AAAI 2023Human-Aware AI
- Human-Aware AI – A Foundational Framework for Human-AI InteractionSarath Sreedharan - AI MagazineXAI
2022
- Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill DiversityL. Guan*, Sarath Sreedharan*, and Subbarao Kambhampati - ICML 2022Planning and Learning
- Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable RepresentationsSarath Sreedharan, U. Soni, M. Verma, Siddharth Srivastava, and Subbarao Kambhampati - ICLR 2022XAIPlanning and Learning
- On the Computational Complexity of Model ReconciliationSarath Sreedharan, P. Bercher, and Subbarao Kambhampati - IJCAI 2022XAI
- RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan SuggestionsKarthik Valmeekam, Sarath Sreedharan, S. Sengupta, Subbarao Kambhampati - ICAPS 2022XAI
- Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI SystemsSubbarao Kambhampati, Sarath Sreedharan, M. Verma, Y. Zha, L. Guan - AAAI 2022 (Blue Sky Track)Human-Aware AIXAI
- Revisiting Value Alignment Through the Lens of Human-Aware AISarath Sreedharan, Subbarao Kambhampati - Virtual Workshop on Human-Centered AI, NeurIPS 2022Human-Aware AIValue Alignment
- Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansionU. Soni, Sarath Sreedharan, M. Verma, L. Guan, M. Marquez, Subbarao Kambhampati - Workshop on Human in the Loop Learning, NeurIPS 2022Value Alignment
- Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change)Karthik Valmeekam*, A. Olmo*, Sarath Sreedharan, Subbarao Kambhampati - Workshop on Foundations Models for Decision Making, NeurIPS 2022Planning and Learning
- Why Did You Do That? Generalizing Causal Link Explanations to Fully Observable Non-Deterministic Planning ProblemsSarath Sreedharan, Christian Muise, Subbarao Kambhampati - ICAPS Workshop on Explainable AI Planning (XAIP) 2022XAI
2021
- Not all users are the same: Providing personalized explanations for sequential decision making problemsU. Soni, Sarath Sreedharan, and Subbarao Kambhampati - IROS 2021XAI
- A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI InteractionSarath Sreedharan, Anagha Kulkarni, David Smith, and Subbarao Kambhampati - IJCAI-Survey 2021XAI
- Leveraging PDDL to Make Inscrutable Agents Interpretable: A Case for Post Hoc Symbolic Explanations for Sequential-Decision Making ProblemsSarath Sreedharan, Subbarao Kambhampati - ICAPS Workshop on Explainable Planning (XAIP) 2021XAI
- Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot InteractionZahra Zahedi, M. Verma, Sarath Sreedharan, Subbarao Kambhampati - ICAPS Workshop on Explainable Planning (XAIP) 2021Other
- GPT3-to-plan: Extracting plans from text using GPT-3A. Olmo, Sarath Sreedharan, Subbarao Kambhampati - ICAPS Workshop on Planning for Financial Services (FinPlan) 2021Planning and Learning
- Foundations of Explanations as Model ReconciliationSarath Sreedharan*, Tathagata Chakraborti*, Subbarao Kambhampati - Artificial Intelligence JournalXAI
- Using State Abstractions to Compute Personalized Contrastive Explanations for AI Agent BehaviorSarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati - Artificial Intelligence JournalXAI
2020
- Designing Environments Conducive to Interpretable Robot BehaviorAnagha Kulkarni*, Sarath Sreedharan*, Sarah Keren, Tathagata Chakraborti, David Smith, Subbarao Kambhampati - IROS 2020XAI
- The Emerging Landscape of Explainable AI Planning and Decision MakingTathagata Chakraborti*, Sarath Sreedharan*, Subbarao Kambhampati - IJCAI 2020XAI
- TLdR: Policy Summarization for Factored SSP Problems Using Temporal AbstractionsSarath Sreedharan, Siddharth Srivastava, and Subbarao Kambhampati - ICAPS 2020XAI
- D3WA+: A Case Study of XAIP in a Model Acquisition TaskSarath Sreedharan*, Tathagata Chakraborti*, Christian Muise, Yasmin Khazaeni, and Subbarao Kambhampati - ICAPS 2020XAI
- Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware PlanningSarath Sreedharan, Tathagata Chakraborti, Christian Muise, and Subbarao Kambhampati - AAAI 2020XAI
- A Bayesian Account of Measures of Interpretability in Human-AI InteractionSarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, David Smith, Subbarao Kambhampati - ICAPS Workshop on Explainable Planning (XAIP) 2020XAI
- RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan SuggestionsKarthik Valmeekam, Sarath Sreedharan, S. Sengupta, Subbarao Kambhampati - ICAPS Workshop on Explainable Planning (XAIP) 2020XAI
- Explainable Composition of Aggregated AssistantsSarath Sreedharan, Tathagata Chakraborti, Yara Rizk, Yasmin Khazaeni - ICAPS Workshop on Explainable Planning (XAIP) 2020XAI
2019
- Model-Free Model ReconciliationSarath Sreedharan, A. Olmo, A. Mishra, and Subbarao Kambhampati - IJCAI 2019XAI
- Why Can't You Do That HAL? Explaining Unsolvability of Planning TasksSarath Sreedharan, Siddharth Srivastava, David Smith, and Subbarao Kambhampati - IJCAI 2019XAI
- Balancing Explicability and Explanations for Human-Aware PlanningTathagata Chakraborti*, Sarath Sreedharan*, Subbarao Kambhampati - IJCAI 2019XAI
- CAP: A Decision Support System for Crew Scheduling using Automated PlanningA. Mishra, S. Sengupta, Sarath Sreedharan, Tathagata Chakraborti, and Subbarao Kambhampati - NDM 2019XAI
- Plan Explanations as Model Reconciliation – An Empirical StudyTathagata Chakraborti, Sarath Sreedharan, S. Grover, Subbarao Kambhampati - HRI 2019XAI
- Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent BehaviorTathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David Smith, Subbarao Kambhampati - ICAPS 2019XAIHuman-Aware AIOther
- A General Framework for Synthesizing and Executing Self-Explaining Plans for Human-AI InteractionSarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati - ICAPS Workshop on Explainable Planning (XAIP) 2019XAI
- Design for interpretabilityAnagha Kulkarni*, Sarath Sreedharan*, Sarah Keren, Tathagata Chakraborti, David Smith, Subbarao Kambhampati - ICAPS Workshop on Explainable Planning (XAIP) 2019XAI
2018
- Projection-Aware Task Planning and Execution for Human-in-the-Loop Operation of Robots in a Mixed-Reality WorkspaceTathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati - IROS 2018Human-Aware AI
- Hierarchical Expertise Level Modeling for User Specific Contrastive ExplanationsSarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati - IJCAI 2018XAI
- Balancing Explicability and Explanations: Emergent Behaviors in Human-Aware PlanningTathagata Chakraborti*, Sarath Sreedharan*, Subbarao Kambhampati - AAMAS 2018 (Extended Abstract)XAI
- Handling Model Uncertainty and Multiplicity in Explanations via Model ReconciliationSarath Sreedharan*, Tathagata Chakraborti*, Subbarao Kambhampati - ICAPS 2018XAI
- Plan Explanation Through Search in an Abstract Model SpaceSarath Sreedharan, M. Madhusoodanan, Siddharth Srivastava, Subbarao Kambhampati - XAIP ICAPS 2018XAI
- Human-Aware Planning Revisited: A Tale of Three ModelsTathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati - ICAPS XAIP 2018Human-Aware AIXAI
2017
- Plan explanations as model reconciliation: Moving beyond explanation as soliloquyTathagata Chakraborti*, Sarath Sreedharan*, Subbarao Kambhampati, Yu Zhang - IJCAI 2017XAI
- Plan Explicability and Predictability for Robot Task PlanningYu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, H. H. Zhuo, Subbarao Kambhampati - ICRA 2017XAI
- Balancing Explicability and Explanation in Human-Aware PlanningSarath Sreedharan*, Tathagata Chakraborti*, Subbarao Kambhampati - AAAI Fall Symposium 2017XAI
- Explanations as Model Reconciliation - A Multi-Agent PerspectiveSarath Sreedharan*, Tathagata Chakraborti*, Subbarao Kambhampati - AAAI Fall Symposium 2017XAI
- Alternative Modes of Interaction in Proximal Human-in-the-Loop Operation of RobotsTathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati - ICAPS 2017 UISP Workshop; and ICAPS 2017 System Demo and ExhibitsOther
- Robust planning with incomplete domain modelsT. Nguyen, Subbarao Kambhampati, Sarath Sreedharan - Artificial Intelligence JournalModel-Lite Planning
2016
- Compliant Conditions for Polynomial Time Approximation of Operator CountsTathagata Chakraborti, Sarath Sreedharan, S. Sengupta, T. K. Satish, Subbarao Kambhampati - Symposium on Combinatorial Search (SOCS) 2016Other
- A Formal Analysis of Required Cooperation in Multi-agent PlanningYu Zhang, Sarath Sreedharan, Subbarao Kambhampati - ICAPS 2016Other
- Plan Explainability and Predictability for Robot Task PlanningYu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, H. H. Zhuo, Subbarao Kambhampati - RSS 2016 Workshop on Planning for Human-Robot InteractionXAI
2015
- Capability Models and their application in Multi-agent planningYu Zhang, Sarath Sreedharan, Subbarao Kambhampati - AAMAS 2015Planning and Learning
