Event-Triggered Parallel Control Using Deep Reinforcement Learning With Application to Comfortable Autonomous Driving
Author:
Affiliation:
1. Department of Industrial Engineering, Tsinghua University, Beijing, China
2. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
Motion G, Inc. Collaborative Research Project for Fundamental Modeling and Parallel Drive-Control of Servo Drive Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7274857/10517859/10458397.pdf?arnumber=10458397
Reference52 articles.
1. Safe driving envelopes for path tracking in autonomous vehicles
2. A survey of deep learning techniques for autonomous driving
3. A Survey of Autonomous Driving: Common Practices and Emerging Technologies
4. Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation
5. Drive Like a Machine: Remembering the Origin and Goal of Autonomous Driving and Intelligent Vehicles
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