Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning-Reference-Cited by-同舟云学术

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Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning

Published:2024-05-13 Issue: Volume:32 Page:14205-14211
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Wang Yubin¹,Li Yulin¹,Peng Zengqi¹,Ghazzai Hakim²,Ma Jun¹

Affiliation:

1. The Hong Kong University of Science and Technology (Guangzhou),Robotics and Autonomous Systems Thrust,Guangzhou,China

2. King Abdullah University of Science and Technology,Computer, Electrical and Mathematical Science and Engineering Division,Thuwal,Saudi Arabia

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610522.pdf?arnumber=10610522

Reference20 articles.

1. Model predictive control with a mixed integer programming for merging path generation on motor way

2. Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC

3. A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving

4. Deep Reinforcement Learning for Autonomous Driving: A Survey

5. Deep Merging: Vehicle Merging Controller Based on Deep Reinforcement Learning with Embedding Network

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