Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning

Gabriel V. de la Cruz, Yunshu Du, Matthew E. Taylor

Deep Reinforcement Learning (DRL) algorithms are known to be data inefficient. One reason is that a DRL agent learns both the feature and the policy tabula rasa. Integrating prior…