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

Read the original at HF Daily Papers

Summary

Researchers introduce TreeOPSD, a critic-free framework that uses tree-structured branching to assign turn-level credit in long-horizon agentic reinforcement learning.

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