Read e-book online Advances in Computer Games: 14th International Conference, PDF

Read e-book online Advances in Computer Games: 14th International Conference, PDF

By Aske Plaat, Jaap van den Herik, Walter Kosters

ISBN-10: 3319279912

ISBN-13: 9783319279916

This e-book constitutes the completely refereed post-conference proceedings of the 14th overseas convention on Advances in computing device video games, ACG 2015, held in Leiden, The Netherlands, in July 2015. The 22 revised complete papers provided have been rigorously reviewed and selected from 34 submissions. The papers disguise a variety of topics equivalent to Monte-Carlo Tree seek and its improvements;  theoretical facets and complexity; research of online game features; seek algorithms; and laptop studying.

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Read Online or Download Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015: Revised Selected Papers PDF

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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

Example text

H. Hsueh et al. This paper incorporates three recent techniques into DARKKNIGHT and analyzes how well these techniques improve the game-playing strength. These techniques are as follows. 1. Early playout terminations [2, 12, 19, 21–23, 30, 31]: Terminate a playout much earlier when it is very likely to win, lose, or draw. 2. Implicit minimax backups [19]: Guide MCTS selections by using heuristic evalua‐ tions of tree nodes together with the original simulated win rates. 3. Quality-based rewards [24]: Use simulation length and terminal state quality to adjust the rewards returning from simulations.

Springer, Heidelberg (2013) 8. : Experiments with monte-carlo tree search in the game of havannah. ICGA J. 34(3), 140–150 (2011) 9. : Evaluation function based monte-carlo LOA. , Spronck, P. ) ACG 2009. LNCS, vol. 6048, pp. 33–44. Springer, Heidelberg (2010) 10. jsp 11. id=249 12. Havannah#The Havannah Challenge. fr Abstract. Monte-Carlo Tree Search (MCTS) is the state of the art algorithm for General Game Playing (GGP). We propose to learn a playout policy online so as to improve MCTS for GGP.

Evidence seemed to indicate that the breadth-first nature of mini-max was superior near the end of the game because it would be less likely to miss a tactical shot that EPT (and MCTS in general) might miss because EPT had gotten stuck on a “good” line of play and did not have the time to find a better move. This, of course, is a general problem with MCTS, and can be fatal near the end game when a missed winning line or a failed proper defence can quickly and permanently turn a game around. Early Playout Termination in MCTS 15 We now believe this is not true for two reasons.

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Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015: Revised Selected Papers by Aske Plaat, Jaap van den Herik, Walter Kosters


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