Author

Zhichao Shi

School of Advanced Interdisciplinary Sciences, UCAS

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#artificial intelligence Review Sep 2026

DynSTEER: Dynamic Stage-wise Trajectory Evaluation and Execution-time Review for Agents

DynSTEER bridges the granularity gap through stage-wise dynamic evaluation that segments rollouts at key execution nodes and adapts its multi-level review strategy based on stage-level results; it compiles a path-tolerant milestone graph from available task inputs to preserve diverse legal paths without reference leaka...

Zhichao Shi, Xuhui Jiang, Wen-Jie Zhang et al. · 1 citation

Preprint Aug 2026

Envs-FORGE: Frontier-Optimized Reward-Grounded Environment Synthesis for Agent RL

Envs-FORGE is presented, a prompting policy that converts verifier rewards into per-seed environment-synthesis actions and solves a per-seed mixed-integer linear program (MILP) to choose the action that conditions generation.

Xiao-Jun Wu, Ce-Hao Yang, Hong-Hao Liu et al. · 2 citations