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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:

Data Driven Sokoban Puzzle Generation with Monte Carlo Tree Search
Bilal Kartal, Nick Sohre, Stephen J. Guy
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2021) Vol. 12, Iss. 1, pp. 58-64
Open Access | Times Cited: 15

Showing 15 citing articles:

Reinforcement Learning in Education: A Literature Review
Bisni Fahad Mon, Asma Wasfi, Mohammad Hayajneh, et al.
Informatics (2023) Vol. 10, Iss. 3, pp. 74-74
Open Access | Times Cited: 18
Procedural Puzzle Generation: A Survey
Barbara De Kegel, Mads Haahr
IEEE Transactions on Games (2019) Vol. 12, Iss. 1, pp. 21-40
Open Access | Times Cited: 53
Graph grammar-based controllable generation of puzzles for a learning game about parallel programming
Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón
(2017), pp. 1-10
Closed Access | Times Cited: 41
Reinforcement Learning for Education: Opportunities and Challenges
Adish Singla, Anna N. Rafferty, Goran Radanović, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 12
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL
Bilal Kartal, Pablo Hernández-Leal, Matthew E. Taylor
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 7
Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis
Aleksandr Efremov, Ahana Ghosh, Adish Singla
Educational Data Mining (2020), pp. 388-394
Closed Access | Times Cited: 6
Maze Generation Based on Difficulty using Genetic Algorithm with Gene Pool
Evan Kusuma Susanto, Rifqi Fachruddin, Muhammad Ihsan Diputra, et al.
2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (2020), pp. 554-559
Closed Access | Times Cited: 5
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman
Bilal Kartal, Pablo Hernández-Leal, Chao Gao, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 5
Procedural Generation of Initial States of Sokoban
Dâmaris S. Bento, André G. Pereira, Levi H. S. Lelis
(2019), pp. 4651-4657
Open Access | Times Cited: 4
Procedural Generation of Initial States of Sokoban
Dâmaris S. Bento, André G. Pereira, Levi H. S. Lelis
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 2
Adaptive General Search Framework for Games and Beyond
Chiara F. Sironi, Mark H. M. Winands
2021 IEEE Conference on Games (CoG) (2021), pp. 1-8
Open Access | Times Cited: 2
Personalized In-Game Tutorial Generation Through Incorporation of Procedural Context Generator with Player Student Mode
In-Chang Baek, Tae-Hwa Park, Kyung-Joong Kim
(2023)
Closed Access
Synthesizing Tasks for Block-based Programming
Umair Z. Ahmed, Maria Christakis, A. Efremov, et al.
arXiv (Cornell University) (2020)
Open Access
AI Assisted Design of Sokoban Puzzles Using Automated Planning
Tomáš Balyo, Nils Froleyks
Springer eBooks (2022), pp. 424-441
Closed Access
Roads to What We Want: A Game Generator based on Reverse Design
Zixuan Deng, Yanping Xiang
(2021), pp. 198-205
Closed Access
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