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Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report

2021-02-27 11:16:09
Michael Walton, Viliam Lisy
arXiv_AI
     
Abstract

In this report, we present results reproductions for several core algorithms implemented in the OpenSpiel framework for learning in games. The primary contribution of this work is a validation of OpenSpiel's re-implemented search and Reinforcement Learning algorithms against the results reported in their respective originating works. Additionally, we provide complete documentation of hyperparameters and source code required to reproduce these experiments easily and exactly.

Abstract (translated)

URL

https://arxiv.org/abs/2103.00187

PDF

https://arxiv.org/pdf/2103.00187.pdf

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