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Automated Identification of Patterns in Evaluation Functions.

, , and . ACG, volume 263 of IFIP, page 279-298. Kluwer, (2003)

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Large-Scale Optimization for Evaluation Functions with Minimax Search., and . J. Artif. Intell. Res., (2014)Parallel Dovetailing and its Application to Depth-First Proof-Number Search., , , and . J. Int. Comput. Games Assoc., 36 (1): 22-36 (2013)RankNet for evaluation functions of the game of Go., and . J. Int. Comput. Games Assoc., 41 (2): 78-91 (2019)Monte Carlo Tree Search with Robust Exploration., and . Computers and Games, volume 10068 of Lecture Notes in Computer Science, page 34-46. Springer, (2016)Learning of Evaluation Functions to Realize Playing Styles in Shogi., and . PRICAI, volume 9810 of Lecture Notes in Computer Science, page 367-379. Springer, (2016)Infinite Connect-Four Is Solved: Draw., , , and . ACG, volume 7168 of Lecture Notes in Computer Science, page 208-219. Springer, (2011)LinUCB Applied to Monte-Carlo Tree Search., and . ACG, volume 9525 of Lecture Notes in Computer Science, page 41-52. Springer, (2015)Exploring the implicit interlayer regulatory mechanism between cells and tissue: Stochastic mathematical analyses of the spontaneous ordering in beating synchronization., , , , and . Biosyst., 111 (3): 208-215 (2013)Estimating Ratings of Computer Players by the Evaluation Scores and Principal Variations in Shogi., and . ACIT-CSI, page 85-90. IEEE, (2015)A System-Design Outline of the Distributed-Shogi-System Akara 2010., , , , , , and . SNPD, page 466-471. IEEE Computer Society, (2013)