Search Results - Chitnis, Rohan

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  1. 1
    Integrated Task and Motion Planning

    Integrated Task and Motion Planning by Garrett, Caelan Reed, Chitnis, Rohan, Holladay, Rachel, Kim, Beomjoon, Silver, Tom, Kaelbling, Leslie Pack, Lozano-Pérez, Tomás

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  2. 2
    Learning Symbolic Operators for Task and Motion Planning

    Learning Symbolic Operators for Task and Motion Planning by Silver, Tom, Chitnis, Rohan, Tenenbaum, Joshua, Kaelbling, Leslie Pack, Lozano-Perez, Tomas

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  3. 3
    Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning

    Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning by Chitnis, Rohan, Silver, Tom, Tenenbaum, Joshua B., Lozano-Perez, Tomas, Kaelbling, Leslie Pack

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  4. 4
    Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization

    Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization by Chitnis, Rohan, Kaelbling, Leslie Pack, Lozano-Perez, Tomas

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  5. 5
    Combined task and motion planning through an extensible planner-independent interface layer

    Combined task and motion planning through an extensible planner-independent interface layer by Srivastava, Siddharth, Fang, Eugene, Riano, Lorenzo, Chitnis, Rohan, Russell, Stuart, Abbeel, Pieter

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  6. 6
    Sequential quadratic programming for task plan optimization

    Sequential quadratic programming for task plan optimization by Hadfield-Menell, Dylan, Lin, Christopher, Chitnis, Rohan, Russell, Stuart, Abbeel, Pieter

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  7. 7
    Efficient Bimanual Manipulation Using Learned Task Schemas

    Efficient Bimanual Manipulation Using Learned Task Schemas by Chitnis, Rohan, Tulsiani, Shubham, Gupta, Saurabh, Gupta, Abhinav

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  8. 8
    Learning Quickly to Plan Quickly Using Modular Meta-Learning

    Learning Quickly to Plan Quickly Using Modular Meta-Learning by Chitnis, Rohan, Kaelbling, Leslie Pack, Lozano-Perez, Tomas

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  9. 9
    Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

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

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  10. 10
    Sequential Decision-Making for Inline Text Autocomplete

    Sequential Decision-Making for Inline Text Autocomplete by Chitnis, Rohan, Yang, Shentao, Geramifard, Alborz

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  11. 11
    PDDLGym: Gym Environments from PDDL Problems

    PDDLGym: Gym Environments from PDDL Problems by Silver, Tom, Chitnis, Rohan

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  12. 12
    Predicate Invention for Bilevel Planning

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

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  13. 13
    When should we prefer Decision Transformers for Offline Reinforcement Learning?

    When should we prefer Decision Transformers for Offline Reinforcement Learning? by Bhargava, Prajjwal, Chitnis, Rohan, Geramifard, Alborz, Sodhani, Shagun, Zhang, Amy

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  14. 14
    GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

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

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  15. 15
    Learning Compact Models for Planning with Exogenous Processes

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

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  16. 16
    SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning

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

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  17. 17
    Towards Optimal Correlational Object Search

    Towards Optimal Correlational Object Search by Zheng, Kaiyu, Chitnis, Rohan, Sung, Yoonchang, Konidaris, George, Tellex, Stefanie

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  18. 18
    Learning Efficient Abstract Planning Models that Choose What to Predict

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

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  19. 19
    IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control

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

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  20. 20
    Predicate Invention for Bilevel Planning

    Predicate Invention for Bilevel Planning by Silver, Tom, Chitnis, Rohan, Kumar, Nishanth, McClinton, Willie, Lozano-Perez, Tomas, Leslie Pack Kaelbling, Tenenbaum, Joshua

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