Invention Grant
- Patent Title: Learning agent categories using agent trajectory clustering
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Application No.: US17520109Application Date: 2021-11-05
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Publication No.: US11485014B1Publication Date: 2022-11-01
- Inventor: John Van Wicheren Reynders, III
- Applicant: Latent Strategies LLC
- Applicant Address: US MA Newton
- Assignee: Latent Strategies LLC
- Current Assignee: Latent Strategies LLC
- Current Assignee Address: US MA Newton
- Agency: Fish & Richardson P.C.
- Main IPC: B25J9/16
- IPC: B25J9/16 ; G06K9/62

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for selecting actions for an agent in an environment. In one aspect, a system comprises receiving an agent trajectory that characterizes interaction of an agent with an environment to perform one or more initial tasks in the environment; processing the agent trajectory to generate a classification output that comprises a respective classification score for each agent category in a set of possible agent categories, wherein each possible agent category is associated with a respective task selection policy; classifying the agent as being included in a corresponding agent category based on the classification scores; selecting tasks to be performed by the agent in the environment based on the task selection policy of the corresponding agent category; and transmitting, to the agent, data defining the selected tasks to be performed by the agent in the environment.
Information query
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