SuperSuit: Simple Microwrappers for Reinforcement Learning Environments

Parameter sharing is surprisingly useful for multi-agent deep reinforcement learning

Original

J K Terry, Nathaniel Grammel, Ananth Hari, and Luis Santos · 2005

Earlier work this paper cites.

Playing atari with deep reinforcement learning

Original

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013

Earlier work this paper cites.

Openai gym, 2016

Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016

Earlier work this paper cites.

Cooperative multi-agent control using deep reinforcement learning

Jayesh K Gupta, Maxim Egorov, and Mykel Kochenderfer · 2017

Cited alongside, same era.

Mastering the game of go without human knowledge

David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017

Cited alongside, same era.

Clipped action policy gradient

Original

Yasuhiro Fujita and Shin-ichi Maeda · 2018

Cited alongside, same era.

PettingZoo

J K Terry, Benjamin Black, Mario Jayakumar, Ananth Hari, Luis Santos, Clemens Dieffendahl, Niall Williams, Praveen Ravi, Yashas Lokesh, Caroline Horsch, and Dipam Patel

Cited in the paper.

Revisiting the arcade learning environment: Evaluation protocols and open problems for general agents

Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, and Michael Bowling · 2018

Later among the works it cites.

Dota 2 with large scale deep reinforcement learning

Original

Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemysław Dębiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, et al · 2019

Later among the works it cites.

Grandmaster level in starcraft ii using multi-agent reinforcement learning

Oriol Vinyals, Igor Babuschkin, Wojciech M Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H Choi, Richard Powell, Timo Ewalds, Petko Georgiev, et al · 2019

Later among the works it cites.