Rohan Chitnis - RankMe

49 papers A* 15A 5Misc 4Journal 24

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