https://smmry.com/https://www.deepmind.com/publications/a-generalist-agent#&SM_LENGTH=2
The agent, which we refer to as Gato, works as a multi-modal, multi-task,
multi-embodiment generalist policy.
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.
GPT-3 Davinci:
Gato is 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.
On 5/18/22 06:12, Marcus Daniels wrote:
https://www.deepmind.com/publications/a-generalist-agent
<https://www.deepmind.com/publications/a-generalist-agent>
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