Heterogeneous Knowledge for Augmented Modular Reinforcement Learning

Lorenz Wolf, Mirco Musolesi

Existing modular Reinforcement Learning (RL) architectures are generally based on reusable components, also allowing for "plug-and-play" integration. However, these modules are hom…