Deepmind Technologies Limited

Samuel Ritter

Razvan Pascanu

Charles Blundell

Siddhant Jayakumar

Matthew Botvinick

David Nunes Raposo

Ryan Faulkner

Xiao Jing Wang

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a system output using a remembered value of a neural network hidden state. In one aspect, a system comprises an external memory that maintains context experience tuples respectively comprising: (i) a key embedding of context data, and (ii) a value of a hidden state of a neural network at the respective previous time step. The neural network is configured to receive a system input and a remembered value of the hidden state of the neural network and to generate a system output. The system comprises a memory interface subsystem that is configured to determine a key embedding for current context data, determine a remembered value of the hidden state of the neural network based on the key embedding, and provide the remembered value of the hidden state as an input to the neural network.

Selecting actions by reverting to previous learned action selection policies

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London, United Kingdom

Samuel Ritter