Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning

Abstract

DiCo (Diversity Control) controls behavioural diversity to an exact value of a given metric by representing policies as the sum of a parameter-shared component and dynamically scaled per-agent components. Applied directly to the policy architecture, leaving the learning objective unchanged.

Paper