Decoupled Hierarchical Reinforcement Learning with State Abstraction for Discrete Grids

Qingyu Xiao, Yuanlin Chang, Youtian Du

Effective agent exploration remains a core challenge in reinforcement learning (RL) for complex discrete state-space environments, particularly under partial observability. This pa…