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Towards robust and domain agnostic reinforcement learning competitions

Towards robust and domain agnostic reinforcement learning competitions

7 June 2021
William H. Guss
Stephanie Milani
Nicholay Topin
Brandon Houghton
Sharada 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
    OOD
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Papers citing "Towards robust and domain agnostic reinforcement learning competitions"

2 / 2 papers shown
Title
When Is Generalizable Reinforcement Learning Tractable?
When Is Generalizable Reinforcement Learning Tractable?
Dhruv Malik
Yuanzhi Li
Pradeep Ravikumar
OffRL
84
24
0
01 Jan 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
339
0
14 Sep 2020
1