On Semi-Markov Suboptimality in Hierarchical Reinforcement Learning.

arXiv:2610.05338v1 Announce Type: cross Abstract: Hierarchical reinforcement learning uses temporally extended subtasks for exploration, yet committing to their execution can restrict both deployment and policy learning. We identify and separate the resulting