Hierarchical Reasoning Proposed to Solve RL Long-Horizon Planning

To prevent reinforcement learning agents from being overwhelmed by compounding errors in long-horizon tasks, ahtouati proposes reasoning at a higher level of abstraction rather than directly on raw actions. This hierarchical approach aims to mitigate error accumulation.

2026-07-07 ~ 2026-07-08 · 2 related posts