Deepmind Technologies Limited

Oleg O Sushkov

Joao Ferdinando Gomes De Freitas

Scott Ellison Reed

Mel Vecerik

David Budden

Misha Man Ray Denil

Sergio Gomez Colmenarejo

Jonathan Karl Scholz

Yusuf Aytar

Alexander Novikov

David Barker

Serkan Cabi

Ksenia Konyushkova

Ziyu Wang

Rae Chan Jeong

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for data-driven robotic control. One of the methods includes maintaining robot experience data; obtaining annotation data; training, on the annotation data, a reward model; generating task-specific training data for the particular task, comprising, for each experience in a second subset of the experiences in the robot experience data: processing the observation in the experience using the trained reward model to generate a reward prediction, and associating the reward prediction with the experience; and training a policy neural network on the task-specific training data for the particular task, wherein the policy neural network is configured to receive a network input comprising an observation and to generate a policy output that defines a control policy for a robot performing the particular task.

Data-driven robot control

Growing community of inventors

London, United Kingdom

Oleg O Sushkov