Chi-Hsien Chang

Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures

Despite recent advancements, deep reinforcement learning (DRL) still struggles at learning sparse-reward goal-directed tasks. Classical planning excels at addressing hierarchical tasks by employing symbolic knowledge, yet most of the methods rely on assumptions about pre-defined subtasks. To bridge…