By Aske Plaat, Jaap van den Herik, Walter Kosters
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 resources for Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers
LNCS, vol. 6515, pp. 81–92. Springer, Heidelberg (2011) 17. : Bandit based Monte-Carlo planning. , Spiliopoulou, M. ) ECML 2006. LNCS (LNAI), vol. 4212, pp. 282–293. Springer, Heidelberg (2006) 18. : The computational intelligence of MoGo revealed in taiwan’s computer go tournaments. IEEE Trans. Comput. Intell. AI Games 1(1), 73–89 (2009) 19. : Programming breakthrough. , Plaat, A. ) CG 2013. LNCS, vol. 8427, pp. 49–59. Springer, Heidelberg (2014) 28 T. Cazenave 20. : A parallel general game player.
Atarigo has been solved up to size 6 × 6 . – Breakthrough: The game starts with two rows of pawns on each side of the board. Pawns can capture diagonally and go forward either vertically or diagonally. The ﬁrst player to reach the opposite row has won. Breakthrough Playout Policy Adaptation for Games Algorithm 1. 0 for m in possible moves on board do z ← z + exp (policy [m]) end for choose a move for player with probability proportional to play (board, move) player ← opponent (player) end while Algorithm 2.
In order to solve this problem, we use the ratios of visit counts as the probabilities for all children of chance nodes. For the above example, assume to ﬂip P 3 times and m once, but none for k. Then, we use 3/4 for P and 1/4 for m. 3 Quality-Based Rewards This subsection reviews the previous work for quality-based rewards and then describes our work to incorporate it into the baseline program. Previous Work.
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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