ASYNCHRONOUS DEEP REINFORCEMENT LEARNING

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for asynchronous deep reinforcement learning. One of the systems includes a plurality of workers, wherein each worker is configured to operate independently of each other worker, and wherein each worker i...

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Bibliographic Details
Main Authors Mnih, Volodymyr, Silver, David, Graves, Alexander Benjamin, Badia, Adrià Puigdomènech, Harley, Timothy James Alexander, Kavukcuoglu, Koray
Format Patent
LanguageEnglish
Published 03.06.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Methods, systems, and apparatus, including computer programs encoded on computer storage media, for asynchronous deep reinforcement learning. One of the systems includes a plurality of workers, wherein each worker is configured to operate independently of each other worker, and wherein each worker is associated with a respective actor that interacts with a respective replica of the environment during the training of the deep neural network.
Bibliography:Application Number: US202117170316