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:
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara, W. Sun
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5
Masatoshi Uehara, W. Sun
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5
Showing 5 citing articles:
The Efficacy of Pessimism in Asynchronous Q-Learning
Yuling Yan, Gen Li, Yuxin Chen, et al.
IEEE Transactions on Information Theory (2023) Vol. 69, Iss. 11, pp. 7185-7219
Open Access | Times Cited: 7
Yuling Yan, Gen Li, Yuxin Chen, et al.
IEEE Transactions on Information Theory (2023) Vol. 69, Iss. 11, pp. 7185-7219
Open Access | Times Cited: 7
Identity concealment games: How I learned to stop revealing and love the coincidences
Mustafa O. Karabag, Melkior Ornik, Ufuk Topcu
Automatica (2024) Vol. 161, pp. 111482-111482
Open Access | Times Cited: 1
Mustafa O. Karabag, Melkior Ornik, Ufuk Topcu
Automatica (2024) Vol. 161, pp. 111482-111482
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
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
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9310-9318
Open Access | Times Cited: 2
Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9310-9318
Open Access | Times Cited: 2
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples
Mustafa O. Karabag, Ufuk Topcu
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8195-8202
Open Access | Times Cited: 1
Mustafa O. Karabag, Ufuk Topcu
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8195-8202
Open Access | Times Cited: 1
