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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:

Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar, Aurick Zhou, George Tucker, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 457

Showing 1-25 of 457 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1546
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke, Melissa Greeff, Adam W. Hall, et al.
Annual Review of Control Robotics and Autonomous Systems (2022) Vol. 5, Iss. 1, pp. 411-444
Open Access | Times Cited: 378
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu, Aviral Kumar, Ofir Nachum, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 319
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 147
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto, Shixiang Gu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 133
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov, Ashvin Nair, Sergey Levine
arXiv (Cornell University) (2021)
Open Access | Times Cited: 107
Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
Yimo Yan, Andy H.F. Chow, Chin Pang Ho, et al.
Transportation Research Part E Logistics and Transportation Review (2022) Vol. 162, pp. 102712-102712
Closed Access | Times Cited: 107
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li, Zhenghao Peng, Feng Lan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-14
Open Access | Times Cited: 89
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
Yanjie Song, Luona Wei, Qing Yang, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101236-101236
Open Access | Times Cited: 77
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 201-264
Open Access | Times Cited: 73
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, et al.
(2021)
Open Access | Times Cited: 71
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder, Raghu Rajan, Xingyou Song, et al.
Journal of Artificial Intelligence Research (2022) Vol. 74, pp. 517-568
Open Access | Times Cited: 53
Active Example Selection for In-Context Learning
Yiming Zhang, Feng Shi, Chenhao Tan
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 49
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany, Huihan Liu, Yuke Zhu
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 7477-7484
Open Access | Times Cited: 42
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad, Banghua Zhu, Cong Ma, et al.
IEEE Transactions on Information Theory (2022) Vol. 68, Iss. 12, pp. 8156-8196
Open Access | Times Cited: 40
Offline Meta-Reinforcement Learning for Industrial Insertion
Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 6386-6393
Open Access | Times Cited: 40
Human-to-Robot Imitation in the Wild
Shikhar Bahl, Abhinav Gupta, Deepak Pathak
(2022)
Open Access | Times Cited: 39
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
Zhiyu Huang, Haochen Liu, Chen Lv
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 3880-3890
Open Access | Times Cited: 30
MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks
Mohammad Al-Fawa’reh, Jumana Abu-Khalaf, Patryk Szewczyk, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 6, pp. 9610-9629
Open Access | Times Cited: 29
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl, Russell Mendonca, Lili Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 28
Applications of Reinforcement Learning for maintenance of engineering systems: A review
Alberto Pliego Marugán
Advances in Engineering Software (2023) Vol. 183, pp. 103487-103487
Closed Access | Times Cited: 27
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
Chongming Gao, Kexin Huang, Jiawei Chen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 238-248
Open Access | Times Cited: 25
Machine learning meets advanced robotic manipulation
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, et al.
Information Fusion (2024) Vol. 105, pp. 102221-102221
Open Access | Times Cited: 10
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Shu Zhang, Xinyi Yang, Yihao Feng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 9026-9036
Closed Access | Times Cited: 10
Offline Meta-Reinforcement Learning for Active Pantograph Control in High-Speed Railways
Hui Wang, Zhigang Liu, Guiyang Hu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10669-10679
Closed Access | Times Cited: 9
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