Rohan Chitnis

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Reinforcement Learning

Model Predictive Control

Top Venues

Publications

Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. ICRA (2024)
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
Score Models for Offline Goal-Conditioned Reinforcement Learning. ICLR (2024)
Rohan Chitnis, Shentao Yang, Alborz Geramifard
Sequential Decision-Making for Inline Text Autocomplete. CoRR (2024)
Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang
When should we prefer Decision Transformers for Offline Reinforcement Learning? ICLR (2024)
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Efficient Abstract Planning Models that Choose What to Predict. CoRL (2023)
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
Score Models for Offline Goal-Conditioned Reinforcement Learning. CoRR (2023)
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. CoRR (2023)
Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang
Sequence Modeling is a Robust Contender for Offline Reinforcement Learning. CoRR (2023)
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Predicate Invention for Bilevel Planning. AAAI (2023)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS (2022)
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. ICAPS (2022)
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR (2022)
Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex
Towards Optimal Correlational Object Search. ICRA (2022)
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. CoRR (2022)
Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Symbolic Operators for Task and Motion Planning. CoRR (2021)
Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Integrated Task and Motion Planning. Annu. Rev. Control. Robotics Auton. Syst. 4 (2021)
Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Dimitri Konidaris, Stefanie Tellex
Towards Optimal Correlational Object Search. CoRR (2021)
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. CoRR (2021)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. CoRR (2021)
Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Symbolic Operators for Task and Motion Planning. IROS (2021)
Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. AAAI (2021)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. AAAI (2021)
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
Efficient Bimanual Manipulation Using Learned Task Schemas. ICRA (2020)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. CoRR (2020)
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
Intrinsic Motivation for Encouraging Synergistic Behavior. CoRR (2020)
Tom Silver, Rohan Chitnis
PDDLGym: Gym Environments from PDDL Problems. CoRR (2020)
Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. CoRR (2020)
Caelan Reed Garrett, Rohan Chitnis, Rachel Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Integrated Task and Motion Planning. CoRR (2020)
Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRL (2020)
Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRR (2020)
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
Intrinsic Motivation for Encouraging Synergistic Behavior. ICLR (2020)
Rohan Chitnis, Tomás Lozano-Pérez
Learning Compact Models for Planning with Exogenous Processes. CoRR (2019)
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
Efficient Bimanual Manipulation Using Learned Task Schemas. CoRR (2019)
Rohan Chitnis, Tomás Lozano-Pérez
Learning Compact Models for Planning with Exogenous Processes. CoRL (2019)
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Quickly to Plan Quickly Using Modular Meta-Learning. ICRA (2019)
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning What Information to Give in Partially Observed Domains. CoRL (2018)
Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Finding Frequent Entities in Continuous Data. CoRR (2018)
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization. CoRR (2018)
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization. IROS (2018)
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model. CoRR (2018)
Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Finding Frequent Entities in Continuous Data. IJCAI (2018)
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Quickly to Plan Quickly Using Modular Meta-Learning. CoRR (2018)
Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart J. Russell, Pieter Abbeel
Sequential quadratic programming for task plan optimization. IROS (2016)
Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel
Guided search for task and motion plans using learned heuristics. ICRA (2016)
Rohan Chitnis, John DeNero
Variable-Length Word Encodings for Neural Translation Models. EMNLP (2015)
Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel
Modular task and motion planning in belief space. IROS (2015)
Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart J. Russell, Pieter Abbeel
Combined task and motion planning through an extensible planner-independent interface layer. ICRA (2014)