Hierarchical Reinforcement Learning with Stable Temporal Abstraction for Language Model Agents.

arXiv:2610.05473v1 Announce Type: new Abstract: Hierarchical reinforcement learning improves long-horizon control by organizing primitive actions around persistent subgoals and assigning credit at multiple temporal scales. Recent hierarchical language agents b