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* [[Monte-Carlo Tree Search]]
* [[ProbCut]]
* [[David E. Moriarty#SANE|SANE]]
=Publications=
* [[Peter W. Frey]] ('''1980'''). ''Machine Othello''. [[Personal Computing#4_7|Personal Computing, Vol. 4, No. 7]], pp. 89
* [[Paul S. Rosenbloom]] ('''1981'''). ''A world-championship-level Othello program''. Technical report, [[Carnegie Mellon University]], [https://pdfs.semanticscholar.org/4033/a5b1d46beec14600427e391ce600159c0f61.pdf pdf]
* Alan S. Wolff, [[Donald H. Mitchell]], [[Peter W. Frey]] ('''1984'''). ''[https://www.tandfonline.com/doi/abs/10.1080/00223980.1984.9712586 Perceptual Skill in the Game of Othello]''. [https://en.wikipedia.org/wiki/The_Journal_of_Psychology The Journal of Psychology], Vol. 118, No. 1* [[Donald H. Mitchell]] ('''1984'''). ''Using Features to Evaluate Positions in Experts' and Novices' Othello Games''. Masters Master thesis, Department of Psychology, [[Northwestern University]], Evanston, IL
==1985 ...==
* [[Kai-Fu Lee]], [[Sanjoy Mahajan]] ('''1986'''). ''[https://kilthub.cmu.edu/articles/BILL_a_table-based_knowledge-intensive_othello_program/6603887/1 BILL: a table-based, knowledge-intensive othello program]''. Technial Report CMU-CS-86-141, [[Carnegie Mellon University]], [https://pdfs.semanticscholar.org/f7ab/15736ecc79452aa4546cf8d7f5aa94d6afa0.pdf pdf]
* [[Richard Korf]] and [[Max Chickering]] ('''1994'''). ''[http://www.aaai.org/Library/AAAI/1994/aaai94-210.php Best-first minimax search: Othello results].'' Proceedings of the 13th National Conference on Artificial Intelligence (AAAI-94), pp. 1365-1370. AAAI Press, Menlo Park, CA.
* [[Victor Allis]] ('''1994'''). ''Searching for Solutions in Games and Artificial Intelligence''. Ph.D. Thesis, [[Maastricht University|University of Limburg]], [http://fragrieu.free.fr/SearchingForSolutions.pdf pdf]
* [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1994'''). ''[http://nn.cs.utexas.edu/?moriarty:aaai94 Evolving Neural Networks to focus Minimax Search]''. [[Conferences#AAAI-94|AAAI-94]], [http://www.cs.utexas.edu/~ai-lab/pubs/moriarty.focus.pdf pdf]
==1995 ...==
* [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1995'''). ''[http://nn.cs.utexas.edu/?moriarty:connsci95 Discovering Complex Othello Strategies Through Evolutionary Neural Networks]''. [https://www.scimagojr.com/journalsearch.php?q=24173&tip=sid Connection Science], Vol. 7
* [[Anton Leouski]] ('''1995'''). ''Learning of Position Evaluation in the Game of Othello''. Master's Project, [https://en.wikipedia.org/wiki/University_of_Massachusetts University of Massachusetts], [https://en.wikipedia.org/wiki/Amherst,_Massachusetts Amherst, Massachusetts], [http://people.ict.usc.edu/~leuski/publications/papers/UM-CS-1995-023.pdf pdf]
* [[Michael Buro]] ('''1995'''). ''[http://www.jair.org/papers/paper179.html Statistical Feature Combination for the Evaluation of Game Positions]''. [https://en.wikipedia.org/wiki/Journal_of_Artificial_Intelligence_Research JAIR], Vol. 3
* [[Toru Ueda]], [[Tsuyoshi Hashimoto]], [[Junichi Hashimoto]], [[Hiroyuki Iida]] ('''2008'''). ''[http://www.springerlink.com/content/v47864x734410148/ Weak Proof-Number Search]''. [[CG 2008]] » [[Proof-Number Search]]
* [[Marcin Szubert]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2009'''). ''Coevolutionary Temporal Difference Learning for Othello''. [[IEEE#CIG|IEEE Symposium on Computational Intelligence and Games]], [http://www.cs.put.poznan.pl/wjaskowski/pub/papers/szubert09coevolutionary.pdf pdf]
* [[Marcin Szubert]] ('''2009'''). ''Coevolutionary Reinforcement Learning and its Application to Othello''. M.Sc. thesis, [https://en.wikipedia.org/wiki/Pozna%C5%84_University_of_Technology Poznań University of Technology], supervisor [[Krzysztof Krawiec]], [https://mszubert.github.io/papers/Szubert_2009_MSC.pdf pdf]
==2010 ...==
* [[Edward P. Manning]] ('''2010'''). ''[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5409565 Using Resource-Limited Nash Memory to Improve an Othello Evaluation Function]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and AI in Games]], Vol. 2, No. 1
==2015 ...==
* [[Mohd Nor Akmal Khalid]], [[E. Mei Ang]], [[Umi Kalsom Yusof]], [[Hiroyuki Iida]], [[Taichi Ishitobi]] ('''2015'''). ''[http://link.springer.com/chapter/10.1007%2F978-3-319-27947-3_6 Identifying Critical Positions Based on Conspiracy Numbers]''. [http://link.springer.com/book/10.1007/978-3-319-27947-3 Agents and Artificial Intelligence], [http://dblp.uni-trier.de/db/conf/icaart/icaart2015s.html#KhalidAYII15 ICAART 2015 - Revised Selected Papers]
* [[Wojciech Jaśkowski]], [[Marcin Szubert]] ('''2016'''). ''[https://ieeexplore.ieee.org/document/7180338 Coevolutionary CMA-ES for Knowledge-Free Learning of Game Position Evaluation]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and AI in Games]], Vol. 8, No. 4
* [[Wojciech Jaśkowski]], [[Paweł Liskowski]], [[Marcin Szubert]], [[Krzysztof Krawiec]] ('''2016'''). ''[https://content.sciendo.com/view/journals/amcs/26/1/article-p215.xml The performance profile: A multi–criteria performance evaluation method for test–based problems]''. [https://en.wikipedia.org/wiki/International_Journal_of_Applied_Mathematics_and_Computer_Science International Journal of Applied Mathematics and Computer Science], Vol. 26, No. 1
* [[Shantanu Thakoor]], [[Surag Nair]], [[Megha Jhunjhunwala]] ('''2017'''). ''Learning to Play Othello Without Human Knowledge''. [[Stanford University]], [https://github.com/suragnair/alpha-zero-general/blob/master/pretrained_models/writeup.pdf pdf] » [[AlphaZero]], [[Monte-Carlo Tree Search|MCTS]], [[Deep Learning]] <ref>[https://github.com/suragnair/alpha-zero-general GitHub - suragnair/alpha-zero-general: A clean and simple implementation of a self-play learning algorithm based on AlphaGo Zero (any game, any framework!)]</ref>
* [[Paweł Liskowski]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2017'''). ''Learning to Play Othello with Deep Neural Networks''. [https://arxiv.org/abs/1711.06583 arXiv:1711.06583] <ref>[https://en.wikipedia.org/wiki/Edax_(computing) Edax] by [[Richard Delorme]]</ref>
* [[Paweł Liskowski]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2018'''). ''Learning to Play Othello with Deep Neural Networks''. [[IEEE#TOG|IEEE Transactions on Games]]
* [[Kiminori Matsuzaki]] ('''2018'''). ''Empirical Analysis of PUCT Algorithm with Evaluation Functions of Different Quality''. [[TAAI 2018]] » [[Christopher D. Rosin#PUCT|PUCT]]
* [[Kiminori Matsuzaki]], [[Naoki Kitamura]] ('''2018'''). ''Do evaluation functions really improve Monte-Carlo tree search?'' [[CG 2018]], [[ICGA Journal#40_3|ICGA Journal, Vol. 40, No. 3]]
* [[Nai-Yuan Chang]], [[Chih-Hung Chen]], [[Shun-Shii Lin]], [[Surag Nair]] ('''2018'''). ''[https://dl.acm.org/citation.cfm?id=3278325 The Big Win Strategy on Multi-Value Network: An Improvement over AlphaZero Approach for 6x6 Othello]''. [https://dl.acm.org/citation.cfm?id=3278312 MLMI2018]
* [[Ching-Nung Lin]], [[Fabien Letouzey]], [[Shi-Jim Yen]] ('''2019'''). ''Decapus wins Othello 10 × 10 tournament''. [[ICGA Journal#41_1|ICGA Journal, Vol. 41, No. 1]] » [[21st Computer Olympiad#Othello |21st Computer Olympiad 2018]]
* [https://en.wikipedia.org/wiki/Computer_Othello Computer Othello from Wikipedia]
* [http://www.othello.dk/book/index.php/Main_Page The Othello Wiki Book Project]
* [http://cassio.free.fr/engine-protocol.htm The Othello Engine Protocol] by [[Stephane Nicolet]]
* [https://www.game-ai-forum.org/icga-tournaments/game.php?id=22 Othello (ICGA Tournaments)]
* [http://satirist.org/learn-game/systems/othello/ The strong learning Othello Programs] from [http://satirist.org/learn-game/ Machine Learning in Games] by [[Jay Scott]]
