April 17, 2024, 4:43 a.m. | Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neub

cs.LG updates on arXiv.org arxiv.org

arXiv:2307.13854v4 Announce Type: replace-cross
Abstract: With advances in generative AI, there is now potential for autonomous agents to manage daily tasks via natural language commands. However, current agents are primarily created and tested in simplified synthetic environments, leading to a disconnect with real-world scenarios. In this paper, we build an environment for language-guided agents that is highly realistic and reproducible. Specifically, we focus on agents that perform tasks on the web, and create an environment with fully functional websites from …

abstract advances agents arxiv autonomous autonomous agents build building cs.ai cs.cl cs.lg current daily environment environments generative however language natural natural language paper simplified synthetic tasks type via web world

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