By Aske Plaat, Jaap van den Herik, Walter Kosters
This e-book constitutes the completely refereed post-conference proceedings of the 14th foreign convention on Advances in machine video games, ACG 2015, held in Leiden, The Netherlands, in July 2015. The 22 revised complete papers provided have been conscientiously reviewed and selected from 34 submissions. The papers conceal a variety of topics reminiscent of Monte-Carlo Tree seek and its improvements; theoretical features and complexity; research of video game features; seek algorithms; and computing device studying.
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Extra info for Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015: Revised Selected Papers
Plaat, A. ) ACG 2011. LNCS, vol. 7168, pp. 24–38. Springer, Heidelberg (2012) 5. : Stochastic gradient tricks. -R. ) Neural Networks, Tricks of the Trade, Reloaded. Lecture Notes in Computer Science, vol. 7700, pp. 430–445. Springer, Heidelberg (2012) Adaptive Playouts in Monte-Carlo Tree Search 11 6. : A survey of Monte Carlo tree search methods. IEEE Trans. Comput. Intell. AI Games 4(1), 1–43 (2012) 7. : Progressive strategies for Monte-Carlo tree search. New Math. Nat. Comput. 4(3), 343–357 (2008) 8.
J. ) CG 2006. LNCS, vol. 4630, pp. 72–83. Springer, Heidelberg (2007) 8. : Computing elo ratings of move patterns in the game of go. ICGA J. 30(4), 198–208 (2007) 9. : Fuego - an open-source framework for board games and go engine based on Monte Carlo tree search. IEEE Trans. Comput. Intell. AI Games 2(4), 259–270 (2010) 10. : Simulation-based approach to general game playing. In: AAAI, pp. 259–264 (2008) 11. : Learning simulation control in general game-playing agents. In: AAAI (2010) 12. : Mathematical games.
In: AAAI (2010) 12. : Mathematical games. Sci. Am. 230, 106–108 (1974) 13. : Monte-Carlo tree search and rapid action value estimation in computer go. Artif. Intell. 175(11), 1856–1875 (2011) 14. : General game playing: overview of the AAAI competition. AI Mag. 26(2), 62–72 (2005) 15. 0: a pattern-based MCTS hex player. In: Computers and Games - 8th International Conference, CG 2013, Yokohama, Japan, 13–15 August 2013, Revised Selected Papers, pp. 60–71 (2013) 16. : Monte-Carlo simulation balancing in practice.