Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network

Shun Kotoku, Takatomo Mihana, André Röhm +1

Multi-agent reinforcement learning (MARL) studies crucial principles that are applicable to a variety of fields, including wireless networking and autonomous driving. We propose a…