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:

Reinforcement Learning for Cart Pole Inverted Pendulum System
Atikah Surriani, Oyas Wahyunggoro, Adha Imam Cahyadi
(2021), pp. 297-301
Closed Access | Times Cited: 8

Showing 8 citing articles:

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes
Sardor Israilov, Li Fu, Jesús Sánchez-Rodríguez, et al.
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0280071-e0280071
Open Access | Times Cited: 16

Robust and Exponential Stabilization of a Cart–Pendulum System via Geometric PID Control
Zhifei Zhang, Mengying Cathy Fang, Minrui Fei, et al.
Symmetry (2024) Vol. 16, Iss. 1, pp. 94-94
Open Access | Times Cited: 1

Robust Control of An Inverted Pendulum System Based on Policy Iteration in Reinforcement Learning
Yan Ma, Dengguo Xu, Jiashun Huang, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13181-13181
Open Access | Times Cited: 2

Adaptive Control of an Inverted Pendulum by a Reinforcement Learningbased LQR Method
Uğur Yıldıran
Sakarya University Journal of Science (2023) Vol. 27, Iss. 6, pp. 1311-1321
Open Access | Times Cited: 1

Deep Reinforcement Learning-based Swing-Free Trajectories Planning Algorithm for UAV with a Suspended Load
Renjie Li, Fan Yang, Yujia Xu, et al.
2021 China Automation Congress (CAC) (2022), pp. 6149-6154
Closed Access | Times Cited: 2

Modeling Human Actions in the Cart-Pole Game Using Cognitive and Deep Reinforcement Learning Approach
Aadhar Gupta, Mahavir Dabas, Shashank Uttrani, et al.
Lecture notes in computer science (2023), pp. 189-198
Closed Access

ROS Gazebo and MATLAB/Simulink Co-simulation for Cart-Pole System: A Framework for Design Optimization
Erdem Arslan, Memduh Suveren, Seyed Tofigh Hosseini Moghaddam
(2023), pp. 1-7
Closed Access

Noise Parameterization of Continuous Deep Reinforcement Learning for a Class of Non-linear System
Atikah Surriani, Oyas Wahyunggoro, Adha Imam Cahyadi
(2022), pp. 24-29
Closed Access

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