Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Lin Yuan,McPhee John,Azad Nasser L.

Funder

Toyota

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9304518/9304528/09304647.pdf?arnumber=9304647

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The unmanned vehicle on-ramp merging model based on AM-MAPPO algorithm;Scientific Reports;2024-08-21

2. Game-Based Flexible Merging Decision Method for Mixed Traffic of Connected Autonomous Vehicles and Manual Driving Vehicles on Urban Freeways;Applied Sciences;2024-08-21

3. A review on reinforcement learning-based highway autonomous vehicle control;Green Energy and Intelligent Transportation;2024-08

4. A Bi-level Risk-constrained Optimization (BRO) Model for Autonomous Driving Trajectory Planning at On-ramp Areas^*;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

5. An End-to-End HRL-based Framework with Macro-Micro Adaptive Layer for Mixed On-Ramp Merging;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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