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:
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning
Stephanie Milani, Zhicheng Zhang, Nicholay Topin, et al.
Lecture notes in computer science (2023), pp. 251-266
Closed Access | Times Cited: 4
Stephanie Milani, Zhicheng Zhang, Nicholay Topin, et al.
Lecture notes in computer science (2023), pp. 251-266
Closed Access | Times Cited: 4
Showing 4 citing articles:
Decision trees: from efficient prediction to responsible AI
Hendrik Blockeel, Laurens Devos, Benoît Frénay, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 47
Hendrik Blockeel, Laurens Devos, Benoît Frénay, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 47
Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges
Ziyuan Zhou, Guanjun Liu, Ying Tang
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-23
Closed Access | Times Cited: 2
Ziyuan Zhou, Guanjun Liu, Ying Tang
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-23
Closed Access | Times Cited: 2
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou, Guanjun Liu, Ying Tang
arXiv (Cornell University) (2023)
Open Access | Times Cited: 6
Ziyuan Zhou, Guanjun Liu, Ying Tang
arXiv (Cornell University) (2023)
Open Access | Times Cited: 6
Interpretable Imitation Learning with Symbolic Rewards
Nicolas Bougie, Takashi Onishi, Yoshimasa Tsuruoka
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 1, pp. 1-34
Open Access | Times Cited: 1
Nicolas Bougie, Takashi Onishi, Yoshimasa Tsuruoka
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 1, pp. 1-34
Open Access | Times Cited: 1
