학술논문
A Generalist Agent
Document Type
Working Paper
Author
Reed, Scott; Zolna, Konrad; Parisotto, Emilio; Colmenarejo, Sergio Gomez; Novikov, Alexander; Barth-Maron, Gabriel; Gimenez, Mai; Sulsky, Yury; Kay, Jackie; Springenberg, Jost Tobias; Eccles, Tom; Bruce, Jake; Razavi, Ali; Edwards, Ashley; Heess, Nicolas; Chen, Yutian; Hadsell, Raia; Vinyals, Oriol; Bordbar, Mahyar; de Freitas, Nando
Source
Transactions on Machine Learning Research, 11/2022, https://openreview.net/forum?id=1ikK0kHjvj
Subject
Language
Abstract
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.
Comment: Published at TMLR, 42 pages
Comment: Published at TMLR, 42 pages