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:

Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL
Catherine Cang, Aravind Rajeswaran, Pieter Abbeel, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9

Showing 9 citing articles:

Offline Reinforcement Learning With Behavior Value Regularization
Longyang Huang, Botao Dong, Wei Xie, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 6, pp. 3692-3704
Closed Access | Times Cited: 2

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

Pessimistic Model-based Offline RL: PAC Bounds and Posterior Sampling under Partial Coverage
Masatoshi Uehara, W. Sun
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5

Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara, W. Sun
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning
Fan Wu, Rui Zhang, Qi Yi, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15897-15905
Open Access

Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning
Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 1

Offline RL With Resource Constrained Online Deployment.
Jayanth Reddy Regatti, Aniket Anand Deshmukh, Y. Frank Cheng, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1

On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Tim G. J. Rudner, Cong Lu, Michael A. Osborne, et al.
Neural Information Processing Systems (2021) Vol. 34
Closed Access | Times Cited: 1

Offline reinforcement learning methods for real-world problems
Taewoo Kim, Ho Suk, Shiho Kim
Advances in computers (2023), pp. 285-315
Closed Access

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