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Rohan Chitnis
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2020 – today
- 2024
- [c25]Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang:
When should we prefer Decision Transformers for Offline Reinforcement Learning? ICLR 2024 - [c24]Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum:
Score Models for Offline Goal-Conditioned Reinforcement Learning. ICLR 2024 - [c23]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: 9154-9160 - [c22]Rohan Chitnis, Shentao Yang, Alborz Geramifard:
Sequential Decision-Making for Inline Text Autocomplete. RLC 2024: 946-960 - [i22]Rohan Chitnis, Shentao Yang, Alborz Geramifard:
Sequential Decision-Making for Inline Text Autocomplete. CoRR abs/2403.15502 (2024) - 2023
- [c21]Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Predicate Invention for Bilevel Planning. AAAI 2023: 12120-12129 - [c20]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: 2070-2095 - [i21]Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang:
Sequence Modeling is a Robust Contender for Offline Reinforcement Learning. CoRR abs/2305.14550 (2023) - [i20]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. CoRR abs/2306.00867 (2023) - [i19]Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum:
Score Models for Offline Goal-Conditioned Reinforcement Learning. CoRR abs/2311.02013 (2023) - 2022
- [b1]Rohan Chitnis:
Learning State and Action Abstractions for Effective and Efficient Planning. MIT, USA, 2022 - [c19]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: 588-596 - [c18]Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex:
Towards Optimal Correlational Object Search. ICRA 2022: 7313-7319 - [c17]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS 2022: 4166-4173 - [i18]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 abs/2203.09634 (2022) - [i17]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 abs/2208.07737 (2022) - 2021
- [j1]Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay
, Beomjoon Kim
Integrated Task and Motion Planning. Annu. Rev. Control. Robotics Auton. Syst. 4: 265-293 (2021) - [c16]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: 11782-11791 - [c15]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: 11962-11971 - [c14]Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. IROS 2021: 3182-3189 - [i16]Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. CoRR abs/2103.00589 (2021) - [i15]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. CoRR abs/2105.14074 (2021) - [i14]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 abs/2109.14830 (2021) - [i13]Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Dimitri Konidaris, Stefanie Tellex:
Towards Optimal Correlational Object Search. CoRR abs/2110.09991 (2021) - 2020
- [c13]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: 64-79 - [c12]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Intrinsic Motivation for Encouraging Synergistic Behavior. ICLR 2020 - [c11]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Efficient Bimanual Manipulation Using Learned Task Schemas. ICRA 2020: 1149-1155 - [i12]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. CoRR abs/2001.08299 (2020) - [i11]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Intrinsic Motivation for Encouraging Synergistic Behavior. CoRR abs/2002.05189 (2020) - [i10]Tom Silver, Rohan Chitnis:
PDDLGym: Gym Environments from PDDL Problems. CoRR abs/2002.06432 (2020) - [i9]Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRR abs/2007.13202 (2020) - [i8]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 abs/2009.05613 (2020) - [i7]Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrated Task and Motion Planning. CoRR abs/2010.01083 (2020)
2010 – 2019
- 2019
- [c10]Rohan Chitnis, Tomás Lozano-Pérez:
Learning Compact Models for Planning with Exogenous Processes. CoRL 2019: 813-822 - [c9]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Quickly to Plan Quickly Using Modular Meta-Learning. ICRA 2019: 7865-7871 - [i6]Rohan Chitnis, Tomás Lozano-Pérez:
Learning Compact Models for Planning with Exogenous Processes. CoRR abs/1909.13870 (2019) - [i5]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Efficient Bimanual Manipulation Using Learned Task Schemas. CoRR abs/1909.13874 (2019) - 2018
- [c8]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning What Information to Give in Partially Observed Domains. CoRL 2018: 724-733 - [c7]Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. IJCAI 2018: 1992-1999 - [c6]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization. IROS 2018: 3551-3558 - [i4]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization. CoRR abs/1803.00119 (2018) - [i3]Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. CoRR abs/1805.02874 (2018) - [i2]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model. CoRR abs/1805.08263 (2018) - [i1]Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Quickly to Plan Quickly Using Modular Meta-Learning. CoRR abs/1809.07878 (2018) - 2016
- [c5]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: 447-454 - [c4]Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart Russell, Pieter Abbeel:
Sequential quadratic programming for task plan optimization. IROS 2016: 5040-5047 - 2015
- [c3]Rohan Chitnis, John DeNero:
Variable-Length Word Encodings for Neural Translation Models. EMNLP 2015: 2088-2093 - [c2]Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel:
Modular task and motion planning in belief space. IROS 2015: 4991-4998 - 2014
- [c1]Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, Pieter Abbeel:
Combined task and motion planning through an extensible planner-independent interface layer. ICRA 2014: 639-646
Coauthor Index
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last updated on 2024-11-13 23:40 CET by the dblp team
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