Gradient Monitored Reinforcement Learning

25 May 2020Mohammed Sharafath Abdul HameedGavneet Singh ChadhaAndreas SchwungSteven X. Ding

This paper presents a novel neural network training approach for faster convergence and better generalization abilities in deep reinforcement learning. Particularly, we focus on the enhancement of training and evaluation performance in reinforcement learning algorithms by systematically reducing gradient's variance and thereby providing a more targeted learning process... (read more)

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