Chitnis, Rohan

13 publications

ICLR 2024 Score Models for Offline Goal-Conditioned Reinforcement Learning Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum

ICLR 2024 When Should We Prefer Decision Transformers for Offline Reinforcement Learning? Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang

ICMLW 2023 IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control Yingchen Xu, Rohan Chitnis, Bobak T Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau

CoRL 2023 Learning Efficient Abstract Planning Models That Choose What to Predict Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling

AAAI 2023 Predicate Invention for Bilevel Planning Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum

NeurIPSW 2023 Score-Models for Offline Goal-Conditioned Reinforcement Learning Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum

AAAI 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez

AAAI 2021 Planning with Learned Object Importance in Large Problem Instances Using Graph Neural Networks Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

CoRL 2020 CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Kaelbling, Tomas Lozano-Perez

ICLR 2020 Intrinsic Motivation for Encouraging Synergistic Behavior Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta

CoRL 2019 Learning Compact Models for Planning with Exogenous Processes Rohan Chitnis, Tomás Lozano-Pérez

IJCAI 2018 Finding Frequent Entities in Continuous Data Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

CoRL 2018 Learning What Information to Give in Partially Observed Domains Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez