
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:
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar, George Tucker, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 733
Sergey Levine, Aviral Kumar, George Tucker, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 733
Showing 26-50 of 733 citing articles:
Advancing 3D bioprinting through machine learning and artificial intelligence
Srikanthan Ramesh, Akash Deep, Ali Tamayol, et al.
Bioprinting (2024) Vol. 38, pp. e00331-e00331
Closed Access | Times Cited: 31
Srikanthan Ramesh, Akash Deep, Ali Tamayol, et al.
Bioprinting (2024) Vol. 38, pp. e00331-e00331
Closed Access | Times Cited: 31
Machine learning for industrial sensing and control: A survey and practical perspective
Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, et al.
Control Engineering Practice (2024) Vol. 145, pp. 105841-105841
Open Access | Times Cited: 20
Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, et al.
Control Engineering Practice (2024) Vol. 145, pp. 105841-105841
Open Access | Times Cited: 20
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang, Zhizhou Ren, Terry Z. Liu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 131
Jianhao Wang, Zhizhou Ren, Terry Z. Liu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 131
Critic Regularized Regression
Ziyu Wang, Alexander Novikov, Konrad Żołna, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 88
Ziyu Wang, Alexander Novikov, Konrad Żołna, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 88
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu, Qi Yan, Alexandre Alahi
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 15098-15109
Open Access | Times Cited: 86
Yuejiang Liu, Qi Yan, Alexandre Alahi
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 15098-15109
Open Access | Times Cited: 86
Deep learning in electron microscopy
Jeffrey M. Ede
Machine Learning Science and Technology (2020) Vol. 2, Iss. 1, pp. 011004-011004
Open Access | Times Cited: 84
Jeffrey M. Ede
Machine Learning Science and Technology (2020) Vol. 2, Iss. 1, pp. 011004-011004
Open Access | Times Cited: 84
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
Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, et al.
(2021)
Open Access | Times Cited: 71
Model-free reinforcement learning from expert demonstrations: a survey
Jorge Ramírez, Wen Yu, Adolfo Perrusquía
Artificial Intelligence Review (2021) Vol. 55, Iss. 4, pp. 3213-3241
Open Access | Times Cited: 70
Jorge Ramírez, Wen Yu, Adolfo Perrusquía
Artificial Intelligence Review (2021) Vol. 55, Iss. 4, pp. 3213-3241
Open Access | Times Cited: 70
Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey
Mohamed Said Frikha, Sonia Mettali Gammar, Abdelkader Lahmadi, et al.
Computer Communications (2021) Vol. 178, pp. 98-113
Open Access | Times Cited: 69
Mohamed Said Frikha, Sonia Mettali Gammar, Abdelkader Lahmadi, et al.
Computer Communications (2021) Vol. 178, pp. 98-113
Open Access | Times Cited: 69
A review on reinforcement learning for contact-rich robotic manipulation tasks
Íñigo Elguea-Aguinaco, A. Serrano-Muñoz, Dimitrios Chrysostomou, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102517-102517
Open Access | Times Cited: 67
Íñigo Elguea-Aguinaco, A. Serrano-Muñoz, Dimitrios Chrysostomou, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102517-102517
Open Access | Times Cited: 67
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
Ashvin Nair, Murtaza Dalal, Abhishek Gupta, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 62
Ashvin Nair, Murtaza Dalal, Abhishek Gupta, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 62
A Survey of Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 58
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 58
Operational optimization for off-grid renewable building energy system using deep reinforcement learning
Yuan Gao, Yuki Matsunami, Shohei Miyata, et al.
Applied Energy (2022) Vol. 325, pp. 119783-119783
Open Access | Times Cited: 56
Yuan Gao, Yuki Matsunami, Shohei Miyata, et al.
Applied Energy (2022) Vol. 325, pp. 119783-119783
Open Access | Times Cited: 56
Machine learning in sustainable ship design and operation: A review
Luofeng Huang, Blanca Peña, Yuanchang Liu, et al.
Ocean Engineering (2022) Vol. 266, pp. 112907-112907
Open Access | Times Cited: 49
Luofeng Huang, Blanca Peña, Yuanchang Liu, et al.
Ocean Engineering (2022) Vol. 266, pp. 112907-112907
Open Access | Times Cited: 49
Wind farm control technologies: from classical control to reinforcement learning
Hongyang Dong, Jingjie Xie, Xiaowei Zhao
Progress in Energy (2022) Vol. 4, Iss. 3, pp. 032006-032006
Open Access | Times Cited: 46
Hongyang Dong, Jingjie Xie, Xiaowei Zhao
Progress in Energy (2022) Vol. 4, Iss. 3, pp. 032006-032006
Open Access | Times Cited: 46
SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies
Matt Vitelli, Yan Chang, Yawei Ye, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 897-904
Open Access | Times Cited: 44
Matt Vitelli, Yan Chang, Yawei Ye, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 897-904
Open Access | Times Cited: 44
Dynamic Role-Based Access Control Policy for Smart Grid Applications: An Offline Deep Reinforcement Learning Approach
Georgios Fragkos, Jay Johnson, Eirini Eleni Tsiropoulou
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 4, pp. 761-773
Closed Access | Times Cited: 44
Georgios Fragkos, Jay Johnson, Eirini Eleni Tsiropoulou
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 4, pp. 761-773
Closed Access | Times Cited: 44
Safe Model-Based Off-Policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles
Zhaoxuan Zhu, Nicola Pivaro, Shobhit Gupta, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 2, pp. 387-398
Open Access | Times Cited: 42
Zhaoxuan Zhu, Nicola Pivaro, Shobhit Gupta, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 2, pp. 387-398
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
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
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
Electricity Theft Detection Using Deep Reinforcement Learning in Smart Power Grids
Ahmed T. El-Toukhy, Mahmoud M. Badr, Mohamed Mahmoud, et al.
IEEE Access (2023) Vol. 11, pp. 59558-59574
Open Access | Times Cited: 40
Ahmed T. El-Toukhy, Mahmoud M. Badr, Mohamed Mahmoud, et al.
IEEE Access (2023) Vol. 11, pp. 59558-59574
Open Access | Times Cited: 40
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning
Minxian Xu, Chenghao Song, Shashikant Ilager, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 19, Iss. 4, pp. 3995-4009
Open Access | Times Cited: 38
Minxian Xu, Chenghao Song, Shashikant Ilager, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 19, Iss. 4, pp. 3995-4009
Open Access | Times Cited: 38
Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes
Harry Emerson, Matthew Guy, Ryan McConville
Journal of Biomedical Informatics (2023) Vol. 142, pp. 104376-104376
Open Access | Times Cited: 35
Harry Emerson, Matthew Guy, Ryan McConville
Journal of Biomedical Informatics (2023) Vol. 142, pp. 104376-104376
Open Access | Times Cited: 35
Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning
Zhong Cao, Kun Jiang, Weitao Zhou, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 2, pp. 145-158
Closed Access | Times Cited: 33
Zhong Cao, Kun Jiang, Weitao Zhou, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 2, pp. 145-158
Closed Access | Times Cited: 33
Multi-modal policy fusion for end-to-end autonomous driving
Zhenbo Huang, Shiliang Sun, Jing Zhao, et al.
Information Fusion (2023) Vol. 98, pp. 101834-101834
Closed Access | Times Cited: 30
Zhenbo Huang, Shiliang Sun, Jing Zhao, et al.
Information Fusion (2023) Vol. 98, pp. 101834-101834
Closed Access | Times Cited: 30