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Optimal Player Information MCTS applied to Chinese Dark Chess

Nicolas Jouandeau
2015 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI)  
Alpha-beta and Monte-Carlo Tree Search (MCTS) are two powerful paradigms useful in computer games. When considering imperfect information, the tree that represents the game has to deal with chance.  ...  When facing such games that presents increasing branching factor, MCTS may consider, as alpha-beta do, pruning to keep efficiency.  ...  CDC tournaments (mainly at Computer Olympiad (CO), Technologies and Applications of Artificial Intelligence (TAAI) and Taiwan Computer Game Association Computer Game Workshop (TCGA)) are using a Swiss  ... 
doi:10.1109/taai.2015.7407121 dblp:conf/taai/Jouandeau15 fatcat:kcucb4gidrbxngwhq6k3ng3iwi

Dagstuhl Reports, Volume 6, Issue 6, June 2016, Complete Issue [article]

2016
Exploring gameful and playful interactions for pleasurable commuting experiences. In Andreas Riener, editor, Adjunct Proceedings of AutomotiveUI 2014, page 5. ACM, 2014.  ...  In the beginning of my presentation, I ran a mini tournament on Catch-Up [1], which is a two-person game in which players alternate removing numbers from an initial set {1, 2, . . . , n}.  ...  What kind of interface does a vehicle need to provide for a spatial-temporal game-like interface?  ... 
doi:10.4230/dagrep.6.6 fatcat:bahw4gi2tjfdth3kvsi3k2uc6i