Proximal Policy Optimization with Relative Pearson Divergence

7 Oct 2020 Taisuke Kobayashi

Deep reinforcement learning (DRL) is one of the promising approaches for introducing robots into complicated environments. The recent remarkable progress of DRL stands on regularization of policy... (read more)

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METHOD TYPE
Entropy Regularization
Regularization
PPO
Policy Gradient Methods