Monte-Carlo Tree Search

Author:

Winands Mark H. M.

Publisher

Springer International Publishing

Reference35 articles.

1. Abramson, B.: Expected-outcome: A general model of static evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 12(2), 182–193 (1990)

2. Arneson, B., Hayward, R.B., Henderson, P.: Monte Carlo Tree Search in Hex. IEEE Trans. Comput. Intell. AI Games 2(4), 251–258 (2010)

3. Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2–3), 235–256 (2002)

4. Balla, R.K., Fern A.: UCT for tactical assault planning in real-time strategy games. In: Boutilier, C. (ed.) Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp. 40–45. AAAI Press, Menlo Park, CA, USA (2009)

5. Billings, D., Peña, L., Schaeffer, J., Szafron, D.: Using probabilistic knowledge and simulation to play poker. In: Hendler, J., Subramanian, D. (eds) Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, pp. 697–703. AAAI Press/The MIT Press, Menlo Park, CA, USA (1999)

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