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* [[Yusaku Mandai]], [[Tomoyuki Kaneko]] ('''2015'''). ''LinUCB Applied to Monte Carlo Tree Search''. [[Advances in Computer Games 14]]
* [[Yun-Ching Liu]], [[Yoshimasa Tsuruoka]] ('''2015'''). ''Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search''. [[Advances in Computer Games 14]]
* [[Jiao Wang]], [[Tan Zhu]], [[Hongye Li]], [[Chu-Hsuan Hsueh]], [[I-Chen Wu]] ('''2015'''). ''Belief-state Monte-Carlo tree search for Phantom games''. [http://dblp[IEEE#CIG|IEEE CIG 2015]]* [[Hung-Jui Chang]], [[Chih-Wen Hsueh]], [[Tsan-sheng Hsu]] ('''2015''').uni''Convergence and correctness analysis of Monte-trierCarlo tree search algorithms: A case study of 2 by 4 Chinese dark chess''.de/db/conf/cig/cig2015.html[[IEEE#WangZLHW15 CIG|IEEE CIG 2015]]
* [[Fabien Teytaud]], [[Julien Dehos]] ('''2015'''). ''On the Tactical and Strategic Behaviour of MCTS when Biasing Random Simulations''. [[ICGA Journal#38_2|ICGA Journal, Vol. 38, No. 2]]
* [[Jeff Rollason]] ('''2015'''). ''[http://www.aifactory.co.uk/newsletter/2015_02_mixing_immiscible.htm Mixing the Immiscible - MCTS and evaluation]''. [[AI Factory]], October 2015 <ref>[[Guillaume Chaslot]], [[Mark Winands]], [[Jos Uiterwijk]], [[Jaap van den Herik]], [[Bruno Bouzy]] ('''2008'''). ''Progressive Strategies for Monte-Carlo Tree Search''. [http://www.worldscinet.com/nmnc/nmnc.shtml New Mathematics and Natural Computation], Vol. 4, No. 3, [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.106.3015&rep=rep1&type=pdf pdf]</ref>
