Interpretable end-to-end Neurosymbolic Reinforcement Learning agents

Nils Grandien, Quentin Delfosse, Kristian Kersting

Deep reinforcement learning (RL) agents rely on shortcut learning, preventing them from generalizing to slightly different environments. To address this problem, symbolic method, t…