Tree-Aware Posterior Distillation for Long-Horizon Agentic Reinforcement Learning.

arXiv:2610.23181v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards has become a scalable post-training paradigm for large language models. However, training agents over long-horizon interactions presents two challenges: using only