Quality-Similar Diversity via Population Based Reinforcement Learning

This work studies how to learn user-controllable and task-relevant diverse policy sets while maintaining similar policy quality.

Recommended citation: Wu, S.*, Yao, J.*, Fu, H.*, et al. (2023). "Quality-Similar Diversity via Population Based Reinforcement Learning." ICLR 2023.
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