- 专利标题: MACHINE LEARNING MODELS FOR BEHAVIOR UNDERSTANDING
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申请号: US17828778申请日: 2022-05-31
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公开(公告)号: US20220383076A1公开(公告)日: 2022-12-01
- 发明人: Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Benjamin James Caine , Zhengdong Zhang , Zhifeng Chen , Hao-Tien Chiang , David Joseph Weiss , Jeffrey Ling , Ashish Venugopal
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 主分类号: G06N3/04
- IPC分类号: G06N3/04
摘要:
A method for performing one or more tasks, wherein each of the one or more tasks includes predicting behavior of one or more agents in an environment, the method comprising: obtaining a three-dimensional (3D) input tensor representing behaviors of the one or more agents in the environment across a plurality of time steps; generating an encoded representation of the 3D input tensor by processing the 3D input tensor using an encoder neural network, wherein 3D input tensor comprises a plurality of observed cells and a plurality of masked cells; and processing the encoded representation of the 3D input tensor using a decoder neural network to generate a 4D output tensor.
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