Patents by Inventor Adria Puigdomenech Badia

Adria Puigdomenech Badia has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • ASYNCHRONOUS DEEP REINFORCEMENT LEARNING
    Publication number: 20190258929
    Abstract: 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.
    Type: Application
    Filed: May 3, 2019
    Publication date: August 22, 2019
    Inventors: Volodymyr Mnih, Adria Puigdomenech Badia, Alexander Benjamin Graves, Timothy James Alexander Harley, David Silver, Koray Kavukcuoglu
  • Asynchronous deep reinforcement learning
    Patent number: 10346741
    Abstract: 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.
    Type: Grant
    Filed: May 11, 2018
    Date of Patent: July 9, 2019
    Assignee: DeepMind Technologies Limited
    Inventors: Volodymyr Mnih, Adrià Puigdomènech Badia, Alexander Benjamin Graves, Timothy James Alexander Harley, David Silver, Koray Kavukcuoglu
  • ASYNCHRONOUS DEEP REINFORCEMENT LEARNING
    Publication number: 20180260708
    Abstract: 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.
    Type: Application
    Filed: May 11, 2018
    Publication date: September 13, 2018
    Inventors: Volodymyr Mnih, Adrià Puigdomènech Badia, Alexander Benjamin Graves, Timothy James Alexander Harley, David Silver, Koray Kavukcuoglu
  • ASYNCHRONOUS DEEP REINFORCEMENT LEARNING
    Publication number: 20170140270
    Abstract: 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.
    Type: Application
    Filed: November 11, 2016
    Publication date: May 18, 2017
    Inventors: Volodymyr Mnih, Adrià Puigdomènech Badia, Alexander Benjamin Graves, Timothy James Alexander Harley, David Silver, Koray Kavukcuoglu