#long-horizon reinforcement learning

topiclong-horizon reinforcement learning

1 paper · 1 filter

cs.LG2026

Keep Policy Gradient in Charge: Sibling-Guided Credit Distillation for Long-Horizon Tool-Use Agents

Tianyu Ding, Jianhong Xin, Juan Pablo De la Cruz Weinstein

The paper introduces Sibling-Guided Credit Distillation (SGCD), a technique that uses self‑distillation to assign finer‑grained credit to actions in long‑horizon tool‑use reinforce…