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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:

Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov, Ashvin Nair, Sergey Levine
arXiv (Cornell University) (2021)
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10237-10257
Open Access | Times Cited: 132
Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving
Yuyang Xia, Shuncheng Liu, Quanlin Yu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 4463-4476
Closed Access | Times Cited: 17
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
Reinforcement learning for vehicle-to-grid: A review
Hongbin Xie, Ge Song, Zhuoran Shi, et al.
Advances in Applied Energy (2025), pp. 100214-100214
Open Access | Times Cited: 1
Integrating reinforcement learning and large language models for crop production process management optimization and control through a new knowledge-based deep learning paradigm
Dong Chen, Yanbo Huang
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110028-110028
Closed Access | Times Cited: 1
ELAPSE: Expand Latent Action Projection Space for policy optimization in Offline Reinforcement Learning
Xinchen Han, Hossam Afifi, Michel Marot
Neurocomputing (2025), pp. 129665-129665
Closed Access
Dynamic optimizers for complex industrial systems via direct data-driven synthesis
Khalid Alhazmi, S. Mani Sarathy
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access
A goal-conditioned offline reinforcement learning algorithm and its application to quad-rotors
Haojun Zhong, Zhenlei Wang, Yuzhe Hao
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110678-110678
Closed Access
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
Minho Heo, Youngwoon Lee, Doohyun Lee, et al.
(2023)
Open Access | Times Cited: 9
Efficient Offline Reinforcement Learning With Relaxed Conservatism
Longyang Huang, Botao Dong, Weidong Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5260-5272
Closed Access | Times Cited: 3
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
Yinmin Zhang, Jie Liu, Chuming Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16908-16916
Open Access | Times Cited: 3
Transfer Learning-Based Deep Reinforcement Learning Approach for Robust Route Guidance in Mixed Traffic Environment
Donghoun Lee
IEEE Access (2024) Vol. 12, pp. 61667-61680
Open Access | Times Cited: 3
Smart Cities Using Machine Learning and Intelligent Applications
Anggy Giri Prawiyogi, Suryari Purnama, Lista Meria
International Transactions on Artificial Intelligence (ITALIC) (2022) Vol. 1, Iss. 1, pp. 102-116
Open Access | Times Cited: 15
Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, et al.
(2023)
Open Access | Times Cited: 8
Doubly constrained offline reinforcement learning for learning path recommendation
Yun Yue, Huan Dai, Rui An, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111242-111242
Closed Access | Times Cited: 8
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu, Soroush Nasiriany, Lance Zhang, et al.
(2023)
Open Access | Times Cited: 7
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
Linkang Du, Min Chen, Mingyang Sun, et al.
(2024)
Open Access | Times Cited: 2
Direct learning of improved control policies from historical plant data
Khalid Alhazmi, S. Mani Sarathy
Computers & Chemical Engineering (2024) Vol. 185, pp. 108662-108662
Closed Access | Times Cited: 2
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
Renzhe Zhou, Chen-Xiao Gao, Zongzhang Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 17132-17140
Open Access | Times Cited: 2
Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets
Kun Yang, Chengshuai Shi, Cong Shen, et al.
IEEE Transactions on Wireless Communications (2024) Vol. 23, Iss. 10, pp. 12703-12716
Open Access | Times Cited: 2
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Zenan Li, Fan Nie, Qiao Sun, et al.
(2024), pp. 18362-18369
Open Access | Times Cited: 2
An Off-Policy Reinforcement Learning Algorithm Customized for Multi-Task Fusion in Large-Scale Recommender Systems
Peng Liu
SSRN Electronic Journal (2024)
Open Access | Times Cited: 1
Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment
Qitong Gao, Stephen L. Schmidt, Afsana Chowdhury, et al.
(2023), pp. 44-55
Open Access | Times Cited: 4
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair, B. X. Zhu, Gokul Narayanan, et al.
(2023)
Open Access | Times Cited: 4
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
Jinxin Liu, Ziqi Zhang, Zhenyu Wei, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 12, pp. 13945-13953
Open Access | Times Cited: 1
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