Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks

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 yie…