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Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL


Feb 14, 2022
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

* Accepted by International Conference on Learning Representations (ICLR) 2022 

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SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition


Nov 17, 2021
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang

* The winner solution of NeurIPS 2020 MineRL competition (https://www.aicrowd.com/challenges/neurips-2020-minerl-competition/leaderboards). The paper has been accepted by DAI 2021 (the third International Conference on Distributed Artificial Intelligence) 

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Towards robust and domain agnostic reinforcement learning competitions


Jun 07, 2021
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute

* 20 pages, several figures, published PMLR 

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