arXiv 2610.18067 · cs.AI · 2026-10-13
WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution
Hang He, Linting Wang, Guanming Liu, Bo Mao, Jinxiu Liu, Yiran Suo, Maosen Zhou, Zhiheng Xi 等 17 人
Nex AGI
在最新榜 #239 本站收录于 2026-10-21
一句话要点
WorkRover 通过递归演化训练环境与验证器，扩展长程“协作办公”智能体的强化学习训练。
WorkRover scales RL for long-horizon cowork agents by recursively evolving tasks, work contexts and verifiers.
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主题与学科
同主题：智能体
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- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- Player-1: Learning to Play from Synthetic Experience ▲348
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。