Reinforcement learning using baseline and policy neural networks

Reinforcement learning using baseline and policy neural networks

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Mnih, Volodymyr, Silver, David, Graves, Alexander Benjamin, Badia, Adrià Puigdomènech, Harley, Timothy James Alexander, Kavukcuoglu, Koray
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung: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.