Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines: A Study on Cooperative MARL

MAHRM introduces a hierarchical structure of Reward Machines to efficiently decompose joint tasks in cooperative Multi-Agent Reinforcement Learning, outperforming existing methods by leveraging high-level events.