Rohan Chitnis

According to our database, Rohan Chitnis authored at least 33 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sequential Decision-Making for Inline Text Autocomplete.

Rohan Chitnis, Shentao Yang, Alborz Geramifard

RLJ, 2024

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control.

Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Score Models for Offline Goal-Conditioned Reinforcement Learning.

Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum

Proceedings of the Twelfth International Conference on Learning Representations, 2024

When should we prefer Decision Transformers for Offline Reinforcement Learning?

Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Sequence Modeling is a Robust Contender for Offline Reinforcement Learning.

Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang

CoRR, 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

Proceedings of the Conference on Robot Learning, 2023

Predicate Invention for Bilevel Planning.

Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning State and Action Abstractions for Effective and Efficient Planning

Rohan Chitnis

PhD thesis, 2022

Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains.

Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling

CoRR, 2022

Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning.

Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum

CoRR, 2022

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning.

Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Towards Optimal Correlational Object Search.

Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.

Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

Integrated Task and Motion Planning.

Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Annu. Rev. Control. Robotics Auton. Syst., 2021

Learning Symbolic Operators for Task and Motion Planning.

Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

PDDLGym: Gym Environments from PDDL Problems.

Tom Silver, Rohan Chitnis

CoRR, 2020

GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning.

Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez

CoRR, 2020

Efficient Bimanual Manipulation Using Learned Task Schemas.

Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Intrinsic Motivation for Encouraging Synergistic Behavior.

Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta

Proceedings of the 8th International Conference on Learning Representations, 2020

CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs.

Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning Quickly to Plan Quickly Using Modular Meta-Learning.

Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the International Conference on Robotics and Automation, 2019

Learning Compact Models for Planning with Exogenous Processes.

Rohan Chitnis, Tomás Lozano-Pérez

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model.

Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

CoRR, 2018

Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization.

Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Finding Frequent Entities in Continuous Data.

Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning What Information to Give in Partially Observed Domains.

Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2016

Sequential quadratic programming for task plan optimization.

Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart Russell, Pieter Abbeel

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Guided search for task and motion plans using learned heuristics.

Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Modular task and motion planning in belief space.

Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Variable-Length Word Encodings for Neural Translation Models.

Rohan Chitnis, John DeNero

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Combined task and motion planning through an extensible planner-independent interface layer.

Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, Pieter Abbeel

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014