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 one or more computers configured to implement a plurality of workers, wherein each worker is configured to operate independently o...

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Bibliographic Details
Main Authors HARLEY, Timothy James Alexander, KAVUKCUOGLU, Koray, BADIA, Adria Puigdomenech, SILVER, David, MNIH, Volodymyr, GRAVES, Alexander Benjamin
Format Patent
LanguageEnglish
French
German
Published 03.07.2024
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 one or more computers configured to implement 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. Aspects of the present specification have the technical effect of faster training of a neural network and/or reducing the memory requirements for the training.
Bibliography:Application Number: EP20210167274