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Monte-Carlo Tree Search Enhancements for Havannah.

, , and . ACG, volume 7168 of Lecture Notes in Computer Science, page 60-71. Springer, (2011)

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Opponent-Model Search in Bao: Conditions for a Successful Application., , and . ACG, volume 263 of IFIP, page 309-324. Kluwer, (2003)Solving Go on Small Boards., , and . J. Int. Comput. Games Assoc., 26 (2): 92-107 (2003)Construction and investigation of Cram endgame databases.. J. Int. Comput. Games Assoc., 40 (4): 425-437 (2018)Learning to score final positions in the game of Go., , and . Theor. Comput. Sci., 349 (2): 168-183 (2005)A Shogi-Computer Test Set., , and . ACM Conference on Computer Science, page 139-146. ACM, (1996)Single-Player Monte-Carlo Tree Search., , , , and . Computers and Games, volume 5131 of Lecture Notes in Computer Science, page 1-12. Springer, (2008)11 11 Domineering Is Solved: The First Player Wins.. Computers and Games, volume 10068 of Lecture Notes in Computer Science, page 129-136. Springer, (2016)An Evaluation Function for Lines of Action., , and . ACG, volume 263 of IFIP, page 249-260. Kluwer, (2003)Learning to Score Final Positions in the Game of Go., , and . ACG, volume 263 of IFIP, page 143-158. Kluwer, (2003)The Neural MoveMap Heuristic in Chess., , , and . Computers and Games, volume 2883 of Lecture Notes in Computer Science, page 154-170. Springer, (2002)