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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:

High-accuracy model-based reinforcement learning, a survey
Aske Plaat, Walter A. Kosters, Mike Preuß
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9541-9573
Closed Access | Times Cited: 22

Showing 22 citing articles:

Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review
Abrar Yaqoob, Rabia Musheer Aziz, Navneet Kumar Verma
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 4, pp. 588-615
Open Access | Times Cited: 60
Artificial Intelligence Algorithms in Flood Prediction: A General Overview
Manish Pandey
Springer eBooks (2024), pp. 243-296
Closed Access | Times Cited: 5
Buoy and Winch Collaborative Control System Based on Deep Reinforcement Learning
Yang Gu, Jianjun Ni, Zhi Geng, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 326-326
Open Access
Machine learning application in modelling marine and coastal phenomena: a critical review
Ali Pourzangbar, Mahdi Jalali, Maurizio Brocchini
Frontiers in Environmental Engineering (2023) Vol. 2
Open Access | Times Cited: 13
Integration of planning and deep reinforcement learning in speed and lane change decision-making for highway autonomous driving
Sunan Zhang, Weichao Zhuang, Bingbing Li, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 521-535
Closed Access | Times Cited: 3
SafeCool: Safe and Energy-Efficient Cooling Management in Data Centers With Model-Based Reinforcement Learning
Jianxiong Wan, Yanduo Duan, Xiang Gui, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 6, pp. 1621-1635
Closed Access | Times Cited: 5
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
ACM Computing Surveys (2024) Vol. 56, Iss. 11, pp. 1-36
Open Access | Times Cited: 1
Model-based deep reinforcement learning for active control of flow around a circular cylinder using action-informed episode-based neural ordinary differential equations
Yiqian Mao, Shan Zhong, Hujun Yin
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access | Times Cited: 1
Using Reinforcement Learning in Unity Environments for Training AI Agent
Geetika Munjal, Monika Lamba
(2024), pp. 349-373
Closed Access | Times Cited: 1
A Phase‐Change Memristive Reinforcement Learning for Rapidly Outperforming Champion Street‐Fighter Players
Shao‐Xiang Go, Yu Jiang, Desmond K. Loke
Advanced Intelligent Systems (2023) Vol. 5, Iss. 11
Open Access | Times Cited: 2
Learning an Accurate State Transition Dynamics Model by Fitting Both a Function and its Derivative
Young‐Ho Kim, Hoosang Lee, Jeha Ryu
IEEE Access (2022) Vol. 10, pp. 44248-44258
Open Access | Times Cited: 3
Generative Adversarial Networks Based on Contrastive Learning for Sequential Recommendation
LI Jian-hong, Yue Wang, Yan Taotao, et al.
Lecture notes in computer science (2024), pp. 439-453
Closed Access
Learning Models of Cyber-Physical Systems with Discrete and Continuous Behaviour for Digital Twin Synthesis
Felix Wallner
(2024), pp. 192-194
Open Access
A criterion for selecting the appropriate one from the trained models for model‐based offline policy evaluation
Chongchong Li, Yue Wang, Zhiming Ma, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access
ERLNEIL-MDP: Evolutionary reinforcement learning with novelty-driven exploration for medical data processing
Jianhui Lv, Byung‐Gyu Kim, Adam Słowik, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101769-101769
Closed Access
A Multi-Agent Centralized Strategy Gradient Reinforcement Learning Algorithm Based on State Transition
Lei Sheng, Honghui Chen, Xiliang Chen
Algorithms (2024) Vol. 17, Iss. 12, pp. 579-579
Open Access
Curriculum learning for deep reinforcement learning in swarm robotic navigation task
Alaa Iskandar, Béla Kovács
Multidiszciplináris Tudományok (2023) Vol. 13, Iss. 3, pp. 175-187
Open Access | Times Cited: 1
Development and Performance Analysis of an AI based Agent to Play Computer Games using Reinforcement Learning Techniques
K.U. Akkshay, B. Sreevidya
(2023) Vol. 1325, pp. 1-8
Closed Access | Times Cited: 1
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
arXiv (Cornell University) (2023)
Open Access
Machine Learning Contribution for a Sustainable Management of the Marine and Coastal Environments: A Critical Review
Ali Pourzangbar, Mahdi Jalali, Maurizio Brocchini
SSRN Electronic Journal (2023)
Closed Access
Generating Function Reallocation to Handle Contingencies in Human–Robot Teaming Missions: The Cases in Lunar Surface Transportation
Yan Fu, Guo Wen, Haipeng Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7506-7506
Open Access
Scalable quasi-static self-modeling for physical legged locomotion
Yuhang Hu, Robert Kwiatkowski, Boyuan Chen, et al.
Research Square (Research Square) (2023)
Open Access
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