RACaP is introduced, an agentic framework that moves coding to evolution and uses a Reasoning-and-Acting loop to call frozen, typed Policy APIs at deployment and shows that separating reusable code from runtime decisions supports continued evolution, effective transfer, and efficient long-horizon control.
Ze-Xi Li, Ye-Hang Zhang, Hao-Jian Huang et al.· 1 citation
FACTOR is introduced, which uses checkpoint-calibrated TD residuals to assign per-action credits that telescope to the trajectory advantage, and feedback-conditioned teacher-student likelihood gaps to allocate each credit across the realized action tokens.
Li-Chao Ma, Yang Sun, Shuai Zhao et al.· 3 citations
SyncPlan is introduced, a plan-execute-correct framework for long-horizon coordination through explicit synchronization and adaptive correction that achieves state-of-the-art task success rates while using less than 0.05% of the wall-clock runtime compared with existing LLM-based coordinators.
Shen You, Xiaoming Zhu, Weining Weng et al.· 0 citations
Comparative experiments conducted on four checkpoints from a single model family validate a concise and effective scaling trend: end-to-end detection correctness exhibits a complexity-differentiated scaling pattern, and the complexity metric derived from the constraint dependency graph can effectively quantify instance...
Shuai Zhao, Fengmei Ni, Lichao Ma et al.· 0 citations
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