arXiv 2610.24960 · cs.AI · 2026-10-18
CoworkEnv: Synthesizing Training Environments for Long-Horizon Cowork Agents
Zhongwei Xie, Yiming Du, Jiaxin Bai, Baixuan Xu, Chunyang Li, Xiyu Ren, Wei Fan, Tianshi Zheng 等 13 人
机构待核实
在最新榜 #281 本站收录于 2026-10-22
一句话要点
CoworkEnv 自动合成可执行的“AI 同事”训练环境（任务、工具、评分），用于监督微调和强化学习小模型。
CoworkEnv synthesizes executable training environments for AI coworker agents, supporting SFT and RL of compact models.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
同主题：智能体
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- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲490
- 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。