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MOPO: Model-based Offline Policy Optimization
Tianhe (Kevin) Yu
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Tianhe (Kevin) Yu (Stanford University)
More from the Same Authors
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2021 : Multi-Task Offline Reinforcement Learning with Conservative Data Sharing »
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Sergey Levine · Chelsea Finn -
2021 : Visual Adversarial Imitation Learning using Variational Models »
Rafael Rafailov · Tianhe (Kevin) Yu · Aravind Rajeswaran · Chelsea Finn -
2021 : The Reflective Explorer: Online Meta-Exploration from Offline Data in Visual Tasks with Sparse Rewards »
Rafael Rafailov · Varun Kumar · Tianhe (Kevin) Yu · Avi Singh · mariano phielipp · Chelsea Finn -
2021 : Multi-Task Offline Reinforcement Learning with Conservative Data Sharing »
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Sergey Levine · Chelsea Finn -
2023 Poster: PaLM-E: An Embodied Multimodal Language Model »
Danny Driess · Fei Xia · Mehdi S. M. Sajjadi · Corey Lynch · Aakanksha Chowdhery · Brian Ichter · Ayzaan Wahid · Jonathan Tompson · Quan Vuong · Tianhe (Kevin) Yu · Wenlong Huang · Yevgen Chebotar · Pierre Sermanet · Daniel Duckworth · Sergey Levine · Vincent Vanhoucke · Karol Hausman · Marc Toussaint · Klaus Greff · Andy Zeng · Igor Mordatch · Pete Florence -
2022 Poster: How to Leverage Unlabeled Data in Offline Reinforcement Learning »
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Chelsea Finn · Sergey Levine -
2022 Spotlight: How to Leverage Unlabeled Data in Offline Reinforcement Learning »
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Chelsea Finn · Sergey Levine -
2020 Poster: On the Expressivity of Neural Networks for Deep Reinforcement Learning »
Kefan Dong · Yuping Luo · Tianhe (Kevin) Yu · Chelsea Finn · Tengyu Ma