A Generalist Agent - Authors' notes  ## Metadata - Author: **Authors' notes** - Full Title: A Generalist Agent - Category: #articles - URL: https://www.deepmind.com/publications/a-generalist-agent ## Highlights - The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy. The same network with the same weights can play Atari, caption images, chat, stack blocks with a real robot arm and much more, deciding based on its context whether to output text, joint torques, button presses, or other tokens. - Gato is trained on a large number of datasets comprising agent experience in both simulated and real-world environments, in addition to a variety of natural language and image datasets. The number of tasks, where the performance of the pretrained Gato model is above a percentage of expert score, grouped by domain, is shown here.