Implementations that Matter in Cooperative Multi-Agent Reinforcement Learning

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.

Tasks

Reproductions