arXiv 2610.16523 · cs.AI · 2026-10-12
EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents
Min Cai, Dan Zhang, Gao Xing, Libin Ma, Zhaohui Xu, Xi Ye
University of Alberta
在最新榜 #312 本站收录于 2026-10-25
一句话要点
EAU 让环境、agent 和模拟用户在训练中共同进化：元 agent 监控轨迹、工具记录和奖励，修正不稳定的用户模拟器、出错的工具和验证器，而不是把它们当作固定不变。
EAU co-evolves environment, agent and simulated user during training: a meta-agent monitors trajectories, tool traces and rewards to fix inconsistent user simulators, unreliable tools and wrong verifiers instead of treating them as fixed.
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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 2026-10-26。
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