Invention Grant
- Patent Title: Automatic navigation using deep reinforcement learning
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Application No.: US15944563Application Date: 2018-04-03
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Publication No.: US11613249B2Publication Date: 2023-03-28
- Inventor: Kaushik Balakrishnan , Praveen Narayanan , Mohsen Lakehal-ayat
- Applicant: Ford Global Technologies, LLC
- Applicant Address: US MI Dearborn
- Assignee: Ford Global Technologies, LLC
- Current Assignee: Ford Global Technologies, LLC
- Current Assignee Address: US MI Dearborn
- Agency: Stevens Law Group
- Agent David R. Stevens
- Main IPC: B60W30/06
- IPC: B60W30/06 ; G05D1/02 ; G05D1/00

Abstract:
A method for training an autonomous vehicle to reach a target location. The method includes detecting the state of an autonomous vehicle in a simulated environment, and using a neural network to navigate the vehicle from an initial location to a target destination. During the training phase, a second neural network may reward the first neural network for a desired action taken by the autonomous vehicle, and may penalize the first neural network for an undesired action taken by the autonomous vehicle. A corresponding system and computer program product are also disclosed and claimed herein.
Public/Granted literature
- US20190299978A1 Automatic Navigation Using Deep Reinforcement Learning Public/Granted day:2019-10-03
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