Deep Reinforcement Learning with Decorrelation

18 Mar 2019 Borislav Mavrin Hengshuai Yao Linglong Kong

Learning an effective representation for high-dimensional data is a challenging problem in reinforcement learning (RL). Deep reinforcement learning (DRL) such as Deep Q networks (DQN) achieves remarkable success in computer games by learning deeply encoded representation from convolution networks... (read more)

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