Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments

Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi

Understanding the interactions of agents trained with deep reinforcement learning is crucial for deploying agents in games or the real world. In the former, unreasonable actions co…