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#artificial intelligence Preprint Oct 2026

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

Terminal feedback in multi-turn agent training leaves both rollout allocation and local credit underdetermined. Dynamics-Predictive Sampling (DPS) [9] provides a task-level predictive sampling reference, but interactive agents also need to choose which visited states merit further continuations. We introduce TSBPO with...

Rui Yu, Chong Mu, Jin-Chuan Zhang · 0 citations

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