Interpretable Reinforcement Learning with Multilevel Subgoal Discovery

Alexander Demin, Denis Ponomaryov

We propose a novel Reinforcement Learning model for discrete environments, which is inherently interpretable and supports the discovery of deep subgoal hierarchies. In the model, a…