Measuring Behavioral Heterogeneity in Multi-Agent Reinforcement Learning Systems

Diversity confers resilience in natural systems, yet traditional multi-agent reinforcement learning techniques often enforce homogeneity. This work introduces a novel metric, System Neural Diversity (SND), to quantify behavioral heterogeneity in multi-agent systems, enabling the measurement and control of diversity.