PERFORMING NAVIGATION TASKS USING GRID CODES

    公开(公告)号:EP4446947A2

    公开(公告)日:2024-10-16

    申请号:EP24196237.2

    申请日:2019-05-09

    IPC分类号: G06N3/092

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting actions to be performed by an agent interacting with an environment. In one aspect, a system comprises a grid cell neural network and an action selection neural network. The grid cell network is configured to: receive an input comprising data characterizing a velocity of the agent; process the input to generate a grid cell representation; and process the grid cell representation to generate an estimate of a position of the agent in the environment; the action selection neural network is configured to: receive an input comprising a grid cell representation and an observation characterizing a state of the environment; and process the input to generate an action selection network output.

    PROGRESSIVE NEURALE NETZWERKE
    10.
    发明公开

    公开(公告)号:EP4312157A3

    公开(公告)日:2024-03-20

    申请号:EP23199207.4

    申请日:2016-12-30

    IPC分类号: G06N3/04

    摘要: Methods and systems for performing a sequence of machine learning tasks. One system includes a sequence of deep neural networks (DNNs), including: a first DNN corresponding to a first machine learning task, wherein the first DNN comprises a first plurality of indexed layers, and each layer in the first plurality of indexed layers is configured to receive a respective layer input and process the layer input to generate a respective layer output; and one or more subsequent DNNs corresponding to one or more respective machine learning tasks, wherein each subsequent DNN comprises a respective plurality of indexed layers, and each layer in a respective plurality of indexed layers with index greater than one receives input from a preceding layer of the respective subsequent DNN, and one or more preceding layers of respective preceding DNNs, wherein a preceding layer is a layer whose index is one less than the current index.