Implementations that Matter in Cooperative Multi-Agent Reinforcement Learning

Anonymous

17 Jan 2022 (modified: 05 May 2023)Submitted to BT@ICLR2022Readers: Everyone
Keywords: multi-agent, reinforcement-learning, experimental techniques, monotonicity
Abstract: Multi-agent reinforcement learning would like to implement some techniques that are known to have superior improvements in reinforcement learning. However, it is still unclear which of these techniques are complementary and can be fruitfully combined. This post dives into some proper experimental techniques that are controversial in multi-agent settings and gives out some advice to enhance the performance of MARL algorithms.
Submission Full: zip
Blogpost Url: yml
ICLR Paper: https://openreview.net/forum?id=Rcmk0xxIQV
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