Deepmind Technologies Limited

Google Inc.

David Barker

Joao Ferdinando Gomes De Freitas

Scott Ellison Reed

Mel Vecerik

David Budden

Jonathan Karl Scholz

Misha Man Ray Denil

Sergio Gomez Colmenarejo

Yusuf Aytar

Alexander Novikov

Ksenia Konyushkova

Oleg O Sushkov

Serkan Cabi

Ziyu Wang

Christopher Gamble

Jim Gao

Dustin Reishus

Vedavyas Panneershelvam

Rae Chan Jeong

Brian Kim

Stephen Webster

Jerry Luo

Mark Schwabacher

Zakerey Bennett

Abigail Ward

Amanda Gasparik

Daniel Fuenffinger

Timothy Jason Kieper

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

Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.

Integrating machine learning into control systems for industrial facilities

Growing community of inventors

Reading, United Kingdom

David Barker