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Confidence-Conditioned Value Functions for Offline Reinforcement Learning


Dec 08, 2022
Joey Hong, Aviral Kumar, Sergey Levine

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* 16 pages, NeurIPS 2022 DeepRL Workshop 

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Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes


Nov 28, 2022
Aviral Kumar, Rishabh Agarwal, Xinyang Geng, George Tucker, Sergey Levine

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Data-Driven Offline Decision-Making via Invariant Representation Learning


Nov 25, 2022
Han Qi, Yi Su, Aviral Kumar, Sergey Levine

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* This is an extended version of the NeurIPS 2022 conference paper titled: "Data-Driven Offline Model-Based Optimization via Invariant Representation Learning" 

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Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints


Nov 21, 2022
Anikait Singh, Aviral Kumar, Quan Vuong, Yevgen Chebotar, Sergey Levine

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Dual Generator Offline Reinforcement Learning


Nov 02, 2022
Quan Vuong, Aviral Kumar, Sergey Levine, Yevgen Chebotar

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* NeurIPS 2022 

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Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials


Oct 11, 2022
Aviral Kumar, Anikait Singh, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine

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Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning


Jul 17, 2022
Homer Walke, Jonathan Yang, Albert Yu, Aviral Kumar, Jedrzej Orbik, Avi Singh, Sergey Levine

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* 17 pages, project website at https://sites.google.com/view/ariel-berkeley/ 

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When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?


Apr 12, 2022
Aviral Kumar, Joey Hong, Anikait Singh, Sergey Levine

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* ICLR 2022. First two authors contributed equally 

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