Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

ICML 2020 Arsenii KuznetsovPavel ShvechikovAlexander GrishinDmitry Vetrov

The overestimation bias is one of the major impediments to accurate off-policy learning. This paper investigates a novel way to alleviate the overestimation bias in a continuous control setting... (read more)

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