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

By Aske Plaat, Jaap van den Herik, Walter Kosters

ISBN-10: 3319279912

ISBN-13: 9783319279916

ISBN-10: 3319279920

ISBN-13: 9783319279923

This e-book constitutes the completely refereed post-conference court cases of the 14th overseas convention on Advances in machine video games, ACG 2015, held in Leiden, The Netherlands, in July 2015.

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Read 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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Additional 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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We must be willing to make decisions based on answers to these kinds of questions, especially in the setting of turn based play, where results come at an agonizingly slow pace. References 1. : A survey of monte carlo tree search methods. IEEE Trans. Comput. Intell. AI Games 4(1), 1–49 (2012) 2. : Efficient selectivity and backup operators in monte-carlo tree search. In: 5th International Conference on Computers and Games, CG 2006, Turin, Italy, pp. 72–84 (2006) 3. : Combining online and offline knowledge in UCT.

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. Plaat et al. ): ACG 2015, LNCS 9525, pp. 12–19, 2015. 1007/978-3-319-27992-3 2 Early Playout Termination in MCTS 13 the EPT incarnation is very strong, being one of the top 3 players on the Little Golem game-playing Web site [10], where it plays under the name Wanderer.

Termination 1 4 6 12 Winning result 33% 43% 27% 10% Fig. 1. Playout termination points in Breakbot. But of particular interest is the first row that clearly shows that only 1 random move is not as good as 4. The values for 2 and 3 random moves degraded roughly uniformly. Why is it the case that a few random moves actually improve performance? To help us understand this phenomenon we ran hundreds of games where at every position a move was generated by two versions of Breakbot, with termination points of 4 and 1.

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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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