Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020

William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. 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. Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. In Hugo Jair Escalante, Katja Hofmann, editors, NeurIPS 2020 Competition and Demonstration Track, 6-12 December 2020, Virtual Event / Vancouver, BC, Canada. Volume 133 of Proceedings of Machine Learning Research, pages 233-252, PMLR, 2020. [doi]

Abstract

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