This release contains the code for work presented as part of my thesis. It is also a less janky version of the code used in the experiments presented in the paper below. With this release, it is still possible to run experiments akin to the ones in the v8 tag, but faster, as long as the encoding and action selection modules aren't shared among all agents. I also believe temporal relation regularization is not implemented anymore, which is present in v8, but did not have good results.
Meneghetti, D. D. R., & Bianchi, R. A. da C. (2021). Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information. AAAI-21 Workshop on Reinforcement Learning in Games, 12. https://arxiv.org/abs/2012.07617
@inproceedings{Meneghetti2021a,
title = {Specializing {{Inter}}-{{Agent Communication}} in {{Heterogeneous Multi}}-{{Agent Reinforcement Learning}} Using {{Agent Class Information}}},
booktitle = {{{AAAI}}-21 {{Workshop}} on {{Reinforcement Learning}} in {{Games}}},
author = {Meneghetti, Douglas De Rizzo and Bianchi, Reinaldo Augusto da Costa},
year = {2021},
month = feb,
pages = {12},
address = {{Virtual Conference}},
copyright = {All rights reserved},
url = {https://arxiv.org/abs/2012.07617},
language = {en-US}
}