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=See also=
* [[Ari Weinstein#FSSS-Minimax|FSSS-Minimax]]
* [[Match Statistics]]
* [[Jakob Erdmann#UCT|MC and UCT poster]] by [[Jakob Erdmann]]
* [[Simon Viennot]], [[Kokolo Ikeda]] ('''2013'''). ''[http://link.springer.com/chapter/10.1007%2F978-3-319-09165-5_3 Efficiency of Static Knowledge Bias in Monte-Carlo Tree Search]''. [[CG 2013]]
* [[Rui Li]], [[Yueqiu Wu]], [[Andi Zhang]], [[Chen Ma]], [[Bo Chen]], [[Shuliang Wang]] ('''2013'''). ''[http://cpfd.cnki.com.cn/Article/CPFDTOTAL-KZJC201309001170.htm Technique Analysis and Designing of Program with UCT Algorithm for NoGo]''. [http://www.ccdc.neu.edu.cn/CCDC2013/ CCDC2013]
* [[Ari Weinstein]], [[Michael L. Littman]], [[Sergiu Goschin]] ('''2013'''). ''[http://proceedings.mlr.press/v24/weinstein12a.html Rollout-based Game-tree Search Outprunes Traditional Alpha-beta]''. [http://proceedings.mlr.press/ PMLR], Vol. 24 » [[Ari Weinstein#FSSS-Minimax|FSSS-Minimax]], [[Monte-Carlo Tree Search|MCTS]]
'''2014'''
* [[Rémi Munos]] ('''2014'''). ''From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning''. [http://dblp.uni-trier.de/db/journals/ftml/ftml7.html#Munos14 Foundations and Trends in Machine Learning, Vol. 7, No 1], [https://hal.archives-ouvertes.fr/hal-00747575 hal-00747575v5], [http://chercheurs.lille.inria.fr/~munos/papers/files/AAAI2013_slides.pdf slides as pdf]
