TSBPO: Tree-Structured Branching for Policy Optimization in Interactive Language Agents.

arXiv:2610.41697v1 Announce Type: new Abstract: Training interactive language agents from terminal outcomes poses three coupled problems: which task and state continuations to sample, how to assign delayed feedback to decisions, and how to aggregate token loss