Multi-agent Collaborative Adaptive Cruise Control Based On Reinforcement Learning
Author:
Affiliation:
1. Shanghai Jiaotong Univeristy,Teaching Development and Studentinnovation Center of SEIEE,Shanghai,China
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9727224/9727236/09728518.pdf?arnumber=9728518
Reference23 articles.
1. A Consensus-Based Approach for Platooning with Intervehicular Communications and Its Validation in Realistic Scenarios
2. Development of lateral control system for autonomous vehicle based on adaptive pure pursuit algorithm
3. Development of a Torque Vectoring System in Hybrid 4WD Vehicles to Improve Vehicle Safety and Agility
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1. Adaptive Route Planning on Simulation-to-Real Environments in the Autonomous Driving Platform of the DeepRacer;Lecture Notes in Electrical Engineering;2023
2. Application of Reinforcement Learning in the Autonomous Driving Platform of the DeepRacer;2022 41st Chinese Control Conference (CCC);2022-07-25
3. A Dynamic Collaborative Planning Method for Multi-vehicles in the Autonomous Driving Platform of the DeepRacer;2022 41st Chinese Control Conference (CCC);2022-07-25
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