2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
ICML 2021spotlight
Sharing parameters in multi-agent deep reinforcement learning has played an essential role in allowing algorithms to scale to a large number of agents. Parameter sharing between agents significantly decreases the number of trainable parameters, shortening training times to tractable levels, and has…