Reducing Overestimation Bias by Increasing Representation Dissimilarity in Ensemble Based Deep Q-Learning

The first deep RL algorithm, DQN, was limited by the overestimation bias of the learned Q-function. Subsequent algorithms proposed techniques to reduce this problem, without fully eliminating it... (read more)

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