Hierarchical Reinforcement Learning with Abductive Planning

Kazeto Yamamoto, Takashi Onishi, Yoshimasa Tsuruoka

One of the key challenges in applying reinforcement learning to real-life problems is that the amount of train-and-error required to learn a good policy increases drastically as th…