A Reinforcement Learning Based Approach for Controlling Autonomous Vehicles in Complex Scenarios-Reference-Cited by-同舟云学术

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A Reinforcement Learning Based Approach for Controlling Autonomous Vehicles in Complex Scenarios

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
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Author:

Elallid Badr Ben¹,Bagaa Miloud²,Benamar Nabil³,Mrani Nabil¹

Affiliation:

1. Moulay Ismail University of Meknes,School of Technology,Meknes,Morocco

2. Université du Québec à Trois-Rivières,Department of Electrical and Computer Engineering,Trois-Rivières,QC,Canada

3. Moulay Ismail University of Meknes School of Science and Engineering Al Akhawayn University in Ifrane,Ifrane,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182377.pdf?arnumber=10182377

Reference21 articles.

1. Conditional dqn-based motion planning with fuzzy logic for autonomous driving;chen;IEEE Transactions on Intelligent Transportation Systems,2020

2. Noise gradient strategy for an enhanced hybrid convolutional-recurrent deep network to control a self-driving vehicle

3. Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning

4. Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning

5. An Introduction to Unreal Engine 4

Cited by 3 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. Enhancing Autonomous Driving Navigation Using Soft Actor-Critic;Future Internet;2024-07-04

2. A reinforcement learning based autonomous vehicle control in diverse daytime and weather scenarios;Journal of Intelligent Transportation Systems;2024-06-26

3. Enhancing Pedestrian Safety in Autonomous Vehicles through Machine Learning;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

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