June 20, 2022, 1:12 a.m. | Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar

cs.CL updates on arXiv.org arxiv.org

Autonomous agents have made great strides in specialist domains like Atari
games and Go. However, they typically learn tabula rasa in isolated
environments with limited and manually conceived objectives, thus failing to
generalize across a wide spectrum of tasks and capabilities. Inspired by how
humans continually learn and adapt in the open world, we advocate a trinity of
ingredients for building generalist agents: 1) an environment that supports a
multitude of tasks and goals, 2) a large-scale database of multimodal …

agents arxiv building internet knowledge lg scale

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