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Information is Power: Intrinsic Control via Information Capture


Dec 07, 2021
Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

* NeurIPS 2021 

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Evolving Reinforcement Learning Algorithms


Jan 08, 2021
John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust


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Ecological Reinforcement Learning


Jun 22, 2020
John D. Co-Reyes, Suvansh Sanjeev, Glen Berseth, Abhishek Gupta, Sergey Levine

* Preprint. Website at: https://sites.google.com/view/ecological-rl/home 

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Entity Abstraction in Visual Model-Based Reinforcement Learning


Dec 04, 2019
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine

* Accepted at CoRL 2019 

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Guiding Policies with Language via Meta-Learning


Nov 19, 2018
John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, John DeNero, Pieter Abbeel, Sergey Levine


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Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings


Jun 07, 2018
John D. Co-Reyes, YuXuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine

* Accepted at ICML 2018 

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EX2: Exploration with Exemplar Models for Deep Reinforcement Learning


May 27, 2017
Justin Fu, John D. Co-Reyes, Sergey Levine


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