SIPO: Selective-Inference Policy Optimization for Tree-Structured Agentic RL.

arXiv:2609.34805v1 Announce Type: new Abstract: Tree-structured reinforcement learning trains search agents by comparing alternative continuations and propagating terminal rewards to intermediate decisions. Adaptive expansion, however, creates a statistical as