BVME uses variational Gaussian message encoding with KL regularization to maintain or improve multi-agent coordination performance while using 67-83% fewer message dimensions than naive compression on SMAC and MPE benchmarks.
In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, NY, USA,
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Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning
BVME uses variational Gaussian message encoding with KL regularization to maintain or improve multi-agent coordination performance while using 67-83% fewer message dimensions than naive compression on SMAC and MPE benchmarks.