Sample-based Distributional Policy Gradient

8 Jan 2020Rahul SinghKeuntaek LeeYongxin Chen

Distributional reinforcement learning (DRL) is a recent reinforcement learning framework whose success has been supported by various empirical studies. It relies on the key idea of replacing the expected return with the return distribution, which captures the intrinsic randomness of the long term rewards... (read more)

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