Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic

Neural Information Processing Systems 

Actor-critic (AC) algorithms, empowered by neural networks, have had significant empirical success in recent years.

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