Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning

Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin +1

In reinforcement learning (RL), the ability to utilize prior knowledge from previously solved tasks can allow agents to quickly solve new problems. In some cases, these new problem…