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Dibya Ghosh

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Accelerating Exploration with Unlabeled Prior Data

Nov 21, 2023
Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine

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Robotic Offline RL from Internet Videos via Value-Function Pre-Training

Sep 22, 2023
Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar

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HIQL: Offline Goal-Conditioned RL with Latent States as Actions

Jul 22, 2023
Seohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine

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Reinforcement Learning from Passive Data via Latent Intentions

Apr 10, 2023
Dibya Ghosh, Chethan Bhateja, Sergey Levine

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Distributionally Adaptive Meta Reinforcement Learning

Oct 06, 2022
Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal

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Offline RL Policies Should be Trained to be Adaptive

Jul 05, 2022
Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine

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Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

Jul 13, 2021
Dibya Ghosh, Jad Rahme, Aviral Kumar, Amy Zhang, Ryan P. Adams, Sergey Levine

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Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

Oct 27, 2020
Aviral Kumar, Rishabh Agarwal, Dibya Ghosh, Sergey Levine

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Representations for Stable Off-Policy Reinforcement Learning

Jul 10, 2020
Dibya Ghosh, Marc G. Bellemare

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