量子位 (微信公众号)T2·Agents
72 pts
Researchers from Tsinghua University and Tencent propose TreeOPSD, which improves credit assignment in long-horizon agent reinforcement learning via tree-based trajectory sampling and turn-level credit estimation. On Qwen3-30B-A3B-Thinking-2507, it achieves 21.20% average Exact Match across four Deep Research benchmarks, a 4.97-point gain over GRPO's 16.23%.