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Monte-Carlo Tree Search

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* [[Arthur Guez]], [[David Silver]], [[Peter Dayan]] ('''2013'''). ''[https://www.jair.org/index.php/jair/article/view/10853 Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search]''. [https://en.wikipedia.org/wiki/Journal_of_Artificial_Intelligence_Research Journal of Artificial Intelligence Research], Vol. 48
* [[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 » [[UCT]]
* [[Kuo-Yuan Kao]], [[I-Chen Wu]], [[Shi-Jim Yen]], [[Yi-Chang Shan]] ('''2013'''). ''[https://ieeexplore.ieee.org/document/6468079 Incentive Learning in Monte Carlo Tree Search]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and AI in Games]], Vol. 5, No. 4
'''2014'''
* [[Ben Ruijl]], [[Jos Vermaseren]], [[Aske Plaat]], [[Jaap van den Herik]] ('''2014'''). ''HEPGAME and the Simplification of Expressions''. [http://arxiv.org/abs/1405.6369 CoRR abs/1405.6369]

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