Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks

6 Sep 2018 Felix Leibfried Peter Vrancx

This paper proposes a new optimization objective for value-based deep reinforcement learning. We extend conventional Deep Q-Networks (DQNs) by adding a model-learning component yielding a transcoder network... (read more)

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