Invention Application
- Patent Title: MACHINE LEARNING MODELS FOR BEHAVIOR UNDERSTANDING
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Application No.: US17828778Application Date: 2022-05-31
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Publication No.: US20220383076A1Publication Date: 2022-12-01
- Inventor: Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Benjamin James Caine , Zhengdong Zhang , Zhifeng Chen , Hao-Tien Chiang , David Joseph Weiss , Jeffrey Ling , Ashish Venugopal
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06N3/04
- IPC: G06N3/04

Abstract:
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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