Deepmind Technologies Limited

Shih-Chieh Huang

Ilya Sutskever

David Silver

Thore Kurt Hartwig Graepel

Laurent Sifre

Arthur Clement Guez

Christopher Maddison

Methods, systems and apparatus, including computer programs encoded on computer storage media, for training a value neural network that is configured to receive an observation characterizing a state of an environment being interacted with by an agent and to process the observation in accordance with parameters of the value neural network to generate a value score. One of the systems performs operations that include training a supervised learning policy neural network; initializing initial values of parameters of a reinforcement learning policy neural network having a same architecture as the supervised learning policy network to the trained values of the parameters of the supervised learning policy neural network; training the reinforcement learning policy neural network on second training data; and training the value neural network to generate a value score for the state of the environment that represents a predicted long-term reward resulting from the environment being in the state.

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London, United Kingdom

Shih-Chieh Huang