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Generalized Decision Transformer for Offline Hindsight Information Matching


Nov 23, 2021
Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu

* Website: https://sites.google.com/view/generalizeddt and Code: https://github.com/frt03/generalized_dt 

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Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization


Oct 10, 2021
Shixiang Shane Gu, Manfred Diaz, Daniel C. Freeman, Hiroki Furuta, Seyed Kamyar Seyed Ghasemipour, Anton Raichuk, Byron David, Erik Frey, Erwin Coumans, Olivier Bachem


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Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms


Mar 31, 2021
Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu

* The implementation is available at: https://github.com/frt03/inference-based-rl 

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Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning


Mar 23, 2021
Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu


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Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization


Jun 23, 2020
Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu


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