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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:

A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto, Shixiang Gu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 133

Showing 26-50 of 133 citing articles:

CCIL: Context-conditioned imitation learning for urban driving
Ke Guo, Wei Jing, Junbo Chen, 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
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
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
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning
Xiang Li, Varun Belagali, Jinghuan Shang, et al.
(2024), pp. 16841-16849
Open Access | Times Cited: 2
A survey of demonstration learning
André Correia, Luı́s A. Alexandre
Robotics and Autonomous Systems (2024), pp. 104812-104812
Open Access | Times Cited: 2
Offline Reinforcement Learning for Automated Stock Trading
Namyeong Lee, Jun Moon
IEEE Access (2023) Vol. 11, pp. 112577-112589
Open Access | Times Cited: 6
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, et al.
2021 IEEE Conference on Games (CoG) (2023), pp. 1-8
Open Access | Times Cited: 6
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Yi Zhao, Rinu Boney, Alexander Ilin, et al.
ESANN 2021 proceedings (2022), pp. 545-550
Open Access | Times Cited: 9
Human-guided reinforcement learning: methodology and application to autonomous driving
Jingda Wu
(2023)
Open Access | Times Cited: 4
Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning
Shunya Kidera, Kosuke Shintani, Toi Tsuneda, et al.
IEEE Access (2024) Vol. 12, pp. 19942-19951
Open Access | Times Cited: 1
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model-Based Augmentation
G. Macaluso, Alessandro Sestini, Andrew D. Bagdanov
(2024), pp. 4-4
Open Access | Times Cited: 1
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
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 12127-12135
Open Access | Times Cited: 1
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning
Zhe Zhang, Xiaoyang Tan
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16944-16952
Open Access | Times Cited: 1
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
(2024), pp. 8239-8245
Open Access | Times Cited: 1
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao, Zichen Yan, Renhao Lu, et al.
(2024), pp. 2838-2844
Open Access | Times Cited: 1
Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management
Lehel Dénes-Fazakas, Győző Dénes Fazakas, György Eigner, et al.
(2024), pp. 000565-000572
Closed Access | Times Cited: 1
Offline constrained reinforcement learning for batch-to-batch optimization of cobalt oxalate synthesis process
Runda Jia, Mingchuan Zhang, Zheng Jun, et al.
Process Safety and Environmental Protection (2024) Vol. 209, pp. 334-345
Closed Access | Times Cited: 1
Offline reinforcement learning based feeding strategy of ethylene cracking furnace
Haojun Zhong, Zhenlei Wang, Yuzhe Hao
Computers & Chemical Engineering (2024) Vol. 192, pp. 108864-108864
Closed Access | Times Cited: 1
A Diffusion Model Augmented Indoor Robot Local Navigation Planner Based On Decision Transformer
Yangfan Wu, Junzhi Li, Jianmin Ji
(2024), pp. 276-282
Closed Access | Times Cited: 1
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
Alex X. Lee, Coline Devin, Jost Tobias Springenberg, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022)
Open Access | Times Cited: 7
Offline Reinforcement Learning with Soft Behavior Regularization
Haoran Xu, Xianyuan Zhan, Jianxiong Li, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
Kuan Fang, Patrick Yin, Ashvin Nair, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 4076-4083
Open Access | Times Cited: 6
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 11372-11380
Open Access | Times Cited: 3

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