公开(公告)号：US20250093828A1

公开(公告)日：2025-03-20

申请号：US18892260

申请日：2024-09-20

Applicant: DeepMind Technologies Limited

Inventor： Arun Ahuja ,  Robert David Fergus ,  Ishita Dasgupta ,  Kavya Venkata Kota Sai Kopparapu

IPC: G05B13/02 ,  G06F40/58 ,  G06N3/09 ,  G06N3/092

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a high-level controller neural network for controlling an agent. In particular, the high-level controller neural network generates natural language commands that can be provided as input to a low-level controller neural network, which generates control outputs that can be used to control the agent.

公开(公告)号：US20250051289A1

公开(公告)日：2025-02-13

申请号：US18929321

申请日：2024-10-28

Applicant: DeepMind Technologies Limited

Inventor： Gregory Duncan Wayne ,  Chia-Chun Hung ,  David Antony Amos ,  Mehdi Mirza Mohammadi ,  Arun Ahuja ,  Timothy Paul Lillicrap

IPC: C07D239/47 ,  A61P35/00 ,  C07C275/36

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a memory-based prediction system configured to receive an input observation characterizing a state of an environment interacted with by an agent and to process the input observation and data read from a memory to update data stored in the memory and to generate a latent representation of the state of the environment. The method comprises: for each of a plurality of time steps: processing an observation for the time step and data read from the memory to: (i) update the data stored in the memory, and (ii) generate a latent representation of the current state of the environment as of the time step; and generating a predicted return that will be received by the agent as a result of interactions with the environment after the observation for the time step is received.

公开(公告)号：US12159221B2

公开(公告)日：2024-12-03

申请号：US16766945

申请日：2019-03-11

Applicant: DeepMind Technologies Limited

Inventor： Gregory Duncan Wayne ,  Chia-Chun Hung ,  David Antony Amos ,  Mehdi Mirza Mohammadi ,  Arun Ahuja ,  Timothy Paul Lillicrap

IPC: G06N3/08 ,  G06N3/045

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a memory-based prediction system configured to receive an input observation characterizing a state of an environment interacted with by an agent and to process the input observation and data read from a memory to update data stored in the memory and to generate a latent representation of the state of the environment. The method comprises: for each of a plurality of time steps: processing an observation for the time step and data read from the memory to: (i) update the data stored in the memory, and (ii) generate a latent representation of the current state of the environment as of the time step; and generating a predicted return that will be received by the agent as a result of interactions with the environment after the observation for the time step is received.

公开(公告)号：US20240112038A1

公开(公告)日：2024-04-04

申请号：US18475157

申请日：2023-09-26

Applicant: DeepMind Technologies Limited

Inventor： Ishita Dasgupta ,  Shiqi Chen ,  Kenneth Daniel Marino ,  Wenling Shang ,  Arun Ahuja

IPC: G06N3/091 ,  G06F40/35

CPC classification number: G06N3/091 ,  G06F40/35

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling agents using reporter neural networks.

公开(公告)号：US20230178076A1

公开(公告)日：2023-06-08

申请号：US18077194

申请日：2022-12-07

Applicant: DeepMind Technologies Limited

Inventor： Joshua Simon Abramson ,  Arun Ahuja ,  Federico Javier Carnevale ,  Petko Ivanov Georgiev ,  Chia-Chun Hung ,  Timothy Paul Lillicrap ,  Alistair Michael Muldal ,  Adam Anthony Santoro ,  Tamara Louise von Glehn ,  Jessica Paige Landon ,  Gregory Duncan Wayne ,  Chen Yan ,  Rui Zhu

IPC: G10L15/22 ,  G10L15/16 ,  G10L13/02 ,  G06V10/82 ,  G06V20/50 ,  G06F40/284 ,  G06F40/40 ,  G06V10/774 ,  G10L15/06

CPC classification number: G10L15/22 ,  G10L15/16 ,  G10L13/02 ,  G06V10/82 ,  G06V20/50 ,  G06F40/284 ,  G06F40/40 ,  G06V10/774 ,  G10L15/063 ,  G10L2015/223

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling agents. In particular, an interactive agent can be controlled based on multi-modal inputs that include both an observation image and a natural language text sequence.

公开(公告)号：US20210034969A1

公开(公告)日：2021-02-04

申请号：US16766945

申请日：2019-03-11

Applicant: DeepMind Technologies Limited

Inventor： Gregory Duncan Wayne ,  Chia-Chun Hung ,  David Antony Amos ,  Mehdi Mirza Mohammadi ,  Arun Ahuja ,  Timothy Paul Lillicrap

IPC: G06N3/08 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a memory-based prediction system configured to receive an input observation characterizing a state of an environment interacted with by an agent and to process the input observation and data read from a memory to update data stored in the memory and to generate a latent representation of the state of the environment. The method comprises: for each of a plurality of time steps: processing an observation for the time step and data read from the memory to: (i) update the data stored in the memory, and (ii) generate a latent representation of the current state of the environment as of the time step; and generating a predicted return that will be received by the agent as a result of interactions with the environment after the observation for the time step is received.