Towards robust and domain agnostic reinforcement learning competitions.

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

Published in: CoRR (2021)

Keyphrases

reinforcement learning
transfer learning
domain specific
domain independent
markov decision processes
machine learning
real time
multi agent
computationally efficient
autonomous learning
case study
domain knowledge
domain experts
function approximation
temporal difference
complex domains