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Ilya Kostrikov, Aviral Kumar
Ilya Kostrikov · Aviral Kumar
Author Information
Ilya Kostrikov (University of California Berkeley)
Aviral Kumar (UC Berkeley)
More from the Same Authors
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2022 : Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes »
Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine -
2022 : Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning »
Aviral Kumar · Anikait Singh · Frederik Ebert · Yanlai Yang · Chelsea Finn · Sergey Levine -
2022 : Offline Reinforcement Learning from Heteroskedastic Data Via Support Constraints »
Anikait Singh · Aviral Kumar · Quan Vuong · Yevgen Chebotar · Sergey Levine -
2022 : Confidence-Conditioned Value Functions for Offline Reinforcement Learning »
Joey Hong · Aviral Kumar · Sergey Levine -
2022 : Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting »
Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine -
2022 : Offline Reinforcement Learning for Customizable Visual Navigation »
Dhruv Shah · Arjun Bhorkar · Hrishit Leen · Ilya Kostrikov · Nicholas Rhinehart · Sergey Levine -
2022 : Confidence-Conditioned Value Functions for Offline Reinforcement Learning »
Joey Hong · Aviral Kumar · Sergey Levine -
2022 : Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting »
Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine -
2022 : Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning »
Anikait Singh · Aviral Kumar · Frederik Ebert · Yanlai Yang · Chelsea Finn · Sergey Levine -
2022 : Offline Reinforcement Learning from Heteroskedastic Data Via Support Constraints »
Anikait Singh · Aviral Kumar · Quan Vuong · Yevgen Chebotar · Sergey Levine -
2022 : Offline Reinforcement Learning for Customizable Visual Navigation »
Dhruv Shah · Arjun Bhorkar · Hrishit Leen · Ilya Kostrikov · Nicholas Rhinehart · Sergey Levine -
2022 : Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes »
Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine -
2022 Workshop: 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad" »
Aviral Kumar · Rishabh Agarwal · Aravind Rajeswaran · Wenxuan Zhou · George Tucker · Doina Precup · Aviral Kumar -
2022 Poster: DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning »
Quan Vuong · Aviral Kumar · Sergey Levine · Yevgen Chebotar -
2022 Poster: In Defense of the Unitary Scalarization for Deep Multi-Task Learning »
Vitaly Kurin · Alessandro De Palma · Ilya Kostrikov · Shimon Whiteson · Pawan K Mudigonda -
2022 Poster: Data-Driven Offline Decision-Making via Invariant Representation Learning »
Han Qi · Yi Su · Aviral Kumar · Sergey Levine -
2022 Poster: Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions »
Bogdan Mazoure · Ilya Kostrikov · Ofir Nachum · Jonathan Tompson -
2021 Workshop: Offline Reinforcement Learning »
Rishabh Agarwal · Aviral Kumar · George Tucker · Justin Fu · Nan Jiang · Doina Precup · Aviral Kumar -
2021 : Data-Driven Offline Optimization for Architecting Hardware Accelerators »
Aviral Kumar · Amir Yazdanbakhsh · Milad Hashemi · Kevin Swersky · Sergey Levine -
2020 Workshop: Offline Reinforcement Learning »
Aviral Kumar · Rishabh Agarwal · George Tucker · Lihong Li · Doina Precup · Aviral Kumar -
2020 Poster: Model Inversion Networks for Model-Based Optimization »
Aviral Kumar · Sergey Levine -
2020 Poster: Conservative Q-Learning for Offline Reinforcement Learning »
Aviral Kumar · Aurick Zhou · George Tucker · Sergey Levine -
2020 Tutorial: (Track3) Offline Reinforcement Learning: From Algorithm Design to Practical Applications Q&A »
Sergey Levine · Aviral Kumar -
2020 Poster: DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction »
Aviral Kumar · Abhishek Gupta · Sergey Levine -
2020 Spotlight: DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction »
Aviral Kumar · Abhishek Gupta · Sergey Levine -
2019 Poster: Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction »
Aviral Kumar · Justin Fu · George Tucker · Sergey Levine