arXiv 2610.23181 · cs.LG · 2026-10-16
Tree-Aware Posterior Distillation for Long-Horizon Agentic Reinforcement Learning
Heming Zou, Qi Wang, Yixiu Mao, Yun Qu, Yuyi Guo, Zeyuan Liu, Chenglin Li, Weijie Liu and 2 more
Tencent Hunyuan
In latest · #284 Added on 2026-10-22
One-line takeaway
TreeOPSD builds a tree over agent turns, backs up terminal rewards into turn-level credit and self-distills without a critic for long-horizon agent RL.
TreeOPSD 把多轮交互建成树，回传终局奖励得到每轮的隐式信用，再做无评论家的自蒸馏，用于长程智能体强化学习。
Read on arXiv PDF Hugging Face discussion
Topics & disciplines
More on Reinforcement learning
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- Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight ▲189
- LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches ▲152
- Sharpening Tax in Post-Training ▲111
- RULER: Instance-aware Rubric Rewards for SVG Generation ▲104
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.