A generalist agent
arXiv preprint arXiv:2205.06175, 2022•arxiv.org
Inspired by progress in large-scale language modeling, we apply a similar approach
towards building a single generalist agent beyond the realm of text outputs. 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. In this report we describe the model and …
towards building a single generalist agent beyond the realm of text outputs. 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. In this report we describe the model and …
Inspired by progress in large-scale language modeling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. 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. In this report we describe the model and the data, and document the current capabilities of Gato.
arxiv.org