Invention Application
- Patent Title: REINFORCEMENT LEARNING MODEL TRAINING THROUGH SIMULATION
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Application No.: US16201830Application Date: 2018-11-27
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Publication No.: US20200167686A1Publication Date: 2020-05-28
- Inventor: Sunil Mallya Kasaragod , Sahika Genc , Leo Parker Dirac , Bharathan Balaji , Eric Li Sun , Marthinus Coenraad De Clercq Wentzel
- Applicant: Amazon Technologies, Inc.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F17/50 ; B25J9/16

Abstract:
A simulation management service receives a request to perform reinforcement learning for a robotic device. The request can include computer-executable code defining a reinforcement function for training a reinforcement learning model for the robotic device. In response to the request, the simulation management service generates a simulation environment and injects the computer-executable code into a simulation application for the robotic device. Using the simulation application and the computer-executable code, the simulation management service performs the reinforcement learning within the simulation environment.
Public/Granted literature
- US11836577B2 Reinforcement learning model training through simulation Public/Granted day:2023-12-05
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