Control Regularization for Reduced Variance Reinforcement Learning

14 May 2019Richard ChengAbhinav VermaGabor OroszSwarat ChaudhuriYisong YueJoel W. Burdick

Dealing with high variance is a significant challenge in model-free reinforcement learning (RL). Existing methods are unreliable, exhibiting high variance in performance from run to run using different initializations/seeds... (read more)

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