Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. (arXiv:2207.05683v1 [cs.MA])

Cooperative multi-agent reinforcement learning (MARL) is making rapid
progress for solving tasks in a grid world and real-world scenarios, in which
agents are given different attributes and goals, resulting in different
behavior through the whole multi-agent task. In this study, we quantify the
agent's behavior difference and build its relationship with the policy
performance via {\bf Role Diversity}, a metric to measure the characteristics
of MARL tasks. We define role diversity from three perspectives: action-based,
trajectory-based, and contribution-based to fully …

arxiv diagnosis diversity policy rl role