Policy Space Diversity for Non-Transitive Games

This work studies diversity in non-transitive games and proposes a policy-space diversity measure that is more aligned with Nash approximation quality.

Recommended citation: Yao, J.*, Liu, W.*, Fu, H.*, et al. (2023). "Policy Space Diversity for Non-Transitive Games." NeurIPS 2023.
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