Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye, Shen Zhang, Pin Wang, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2021)
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

Multi-agent reinforcement learning for safe lane changes by connected and autonomous vehicles: A survey
Bharathkumar Hegde, Mélanie Bouroche
AI Communications (2023) Vol. 37, Iss. 2, pp. 203-222
Open Access | Times Cited: 2
Research on Reinforcement-Learning-Based Truck Platooning Control Strategies in Highway On-Ramp Regions
Jiajia Chen, Zheng Zhou, Yue Duan, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 10, pp. 273-273
Open Access | Times Cited: 2
An Adaptive Path Planning Method for Curved Roads via Three-Dimensional Space-Aware Profiling Maps
Jianyu Huang, Billy Dawton, Yutaka Arakawa
IEEE Access (2023) Vol. 12, pp. 1458-1473
Open Access | Times Cited: 2
Robust AI Driving Strategy for Autonomous Vehicles
Subramanya Nageshrao, Yousaf Rahman, Vladimir Ivanović, et al.
Lecture notes in intelligent transportation and infrastructure (2022), pp. 161-212
Closed Access | Times Cited: 3
Deep Reinforcement Learning Based Collision Avoidance of Automated Driving Agent
Haochong Chen, Bilin Aksun Güvenç
SAE technical papers on CD-ROM/SAE technical paper series (2024)
Closed Access
Designing Reward Functions Using Active Preference Learning for Reinforcement Learning in Autonomous Driving Navigation
Lun Ge, Xiaoguang Zhou, Yongqiang Li
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4845-4845
Open Access
Deep reinforcement learning with predictive auxiliary task for autonomous train collision avoidance
Antoine Plissonneau, Luca Jourdan, Damien Trentesaux, et al.
Journal of Rail Transport Planning & Management (2024) Vol. 31, pp. 100453-100453
Closed Access
An Integrated Eco-Driving Framework for Hybrid Electric Vehicles in Multi-Lane Scenarios Based on Deep Reinforcement Learning
Weiqi Chen, Jiankun Peng, Yuhan Ma, et al.
(2024)
Closed Access
A Distributed Simulation-to-Reality Transfer Framework for Multi-agent Reinforcement Learning
Zhongren Cui, Chaoqun Yang, Xianghui Cao
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 3807-3812
Closed Access
A survey of reinforcement learning theories in autonomous vehicles
Shuwen Bai
Applied and Computational Engineering (2024) Vol. 85, Iss. 1, pp. 187-194
Open Access
Sim-to-real transfer of adaptive control parameters for AUV stabilisation under current disturbance
Thomas Chaffre, Jonathan Wheare, Andrew Lammas, et al.
The International Journal of Robotics Research (2024)
Closed Access
Q-Learning for Autonomous Vehicle Navigation
Óscar González-Miranda, Luis Antonio Lopez Miranda, Juan Manuel Ibarra Zannatha
(2023), pp. 138-142
Closed Access | Times Cited: 1
Automating the Parking Process: A Study on Motion Planning Techniques for Autonomous Vehicles
Salma M. Elshennawy, Omar Mohamed, Tamer Mostafa, et al.
(2023)
Closed Access | Times Cited: 1
Artificial Intelligence in Electric Machine Drives: Advances and Trends
Shen Zhang
(2021)
Open Access | Times Cited: 3
Autonomous driving system using proximal policy optimization in deep reinforcement learning
Imam Noerhenda Yazid, Ema Rachmawati
IAES International Journal of Artificial Intelligence (2022) Vol. 12, Iss. 1, pp. 422-422
Open Access | Times Cited: 2
Varied Realistic Autonomous Vehicle Collision Scenario Generation
Maria Priisalu, Ciprian Păduraru, Cristian Smichisescu
Lecture notes in computer science (2023), pp. 354-372
Closed Access
Neural Network Self Driving Car: A Platform for Learning and Research on a Reduced Scale
Andrew Sumsion, Shad Torrie, Joshua Broekhuijsen, et al.
2022 Intermountain Engineering, Technology and Computing (IETC) (2023)
Closed Access
Self-Driving Electrical Car simulation using Mutation and DNN
Priyanka Paygude, Sonali Idate, Milind Gayakwad, et al.
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 6, pp. 27-34
Open Access
An End-to-End Autonomous Driving Pre-trained Transformer Model for Multi-Behavior-Optimal Trajectory Generation
Zelin Qian, Kun Jiang, Weitao Zhou, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 4730-4737
Closed Access
Reinforcement Learning for Autonomous Driving Scenarios in Indian Roads
Adithya Narasimhan, Aravindh R. Shankar, Ajay Mittur, et al.
Lecture notes in networks and systems (2022), pp. 397-412
Closed Access
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