Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods

Niklas Höpner, Ilaria Tiddi, Herke van Hoof

Enabling reinforcement learning (RL) agents to leverage a knowledge base while learning from experience promises to advance RL in knowledge intensive domains. However, it has prove…