Download Advances in Computer Games: 14th International Conference, by Aske Plaat, Jaap van den Herik, Walter Kosters PDF

March 28, 2017 | Structured Design | By admin | 0 Comments

By Aske Plaat, Jaap van den Herik, Walter Kosters

This publication constitutes the completely refereed post-conference proceedings of the 14th overseas convention on Advances in machine video games, ACG 2015, held in Leiden, The Netherlands, in July 2015. The 22 revised complete papers offered 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 elements and complexity; research of online game features; seek algorithms; and laptop 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

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Amabot was originally written using mini-max techniques and, playing under the name Invader, was one of the top Amazons programs at the Computer Olympiads from 2001–2005 [11], but never finished in first place. After converting from mini-max to EPT, Amabot has won each of the last five Computer Olympiads it has entered. Breakbot is a more recent program. In contrast to Amabot, it was originally written as an MCTS program and then was migrated over to the MCTSEPT approach. The pure MCTS version played a fairly average game, whereas c Springer International Publishing Switzerland 2015 A.

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. , Plaat, A. ) CG 2010. LNCS, vol.

LNCS, vol. 6625, pp. 501–510. Springer, Heidelberg (2011) 23. : Biasing Monte-Carlo simulations through RAVE values. , Plaat, A. ) CG 2010. LNCS, vol. 6515, pp. 59–68. Springer, Heidelberg (2011) 24. : Nested rollout policy adaptation for Monte Carlo tree search. In: IJCAI, pp. 649–654 (2011) 25. : Solving breakthrough with race patterns and job-level proof number search. , Plaat, A. ) ACG 2011. LNCS, vol. 7168, pp. 196–207. Springer, Heidelberg (2012) 26. : Self-adaptation of playing strategies in general game playing.

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