AUTOREGRESSIVELY GENERATING SEQUENCES OF DATA ELEMENTS DEFINING ACTIONS TO BE PERFORMED BY AN AGENT

AUTOREGRESSIVELY GENERATING SEQUENCES OF DATA ELEMENTS DEFINING ACTIONS TO BE PERFORMED BY AN AGENT

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting actions to be performed by an agent to interact with an environment using an action selection neural network. In one aspect, a method comprises, at each time step in a sequence of time st...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Vinyals, Oriol, Parisotto, Emilio, Edwards, Ashley Deloris, Rae, Jack William, Reed, Scott Ellison, Novikov, Alexander, Zolna, Konrad, Denil, Misha Man Ray, Gomes de Freitas, Joao Ferdinando, Erez, Tom, Bruce, Jacob, Gomez, Sergio, Barth-Maron, Gabriel
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting actions to be performed by an agent to interact with an environment using an action selection neural network. In one aspect, a method comprises, at each time step in a sequence of time steps: generating a current representation of a state of a task being performed by the agent in the environment as of the current time step as a sequence of data elements; autoregressively generating a sequence of data elements representing a current action to be performed by the agent at the current time step; and after autoregressively generating the sequence of data elements representing the current action, causing the agent to perform the current action at the current time step.