Provenance
发表于 2025-3-26 22:21:11
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舔食
发表于 2025-3-27 05:12:44
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新陈代谢
发表于 2025-3-27 05:59:57
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凌辱
发表于 2025-3-27 11:44:57
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Biofeedback
发表于 2025-3-27 14:42:47
https://doi.org/10.1007/978-3-211-99451-1pects. Firstly, we focus on the component (i.e., layers) of the networks and achieve better performance in a similar setting. Secondly, we change input and/or output of the networks for better performance. The best neural-network player achieved average score 215 803 without search techniques, which is comparable to N-tuple-network players.
vanquish
发表于 2025-3-27 21:03:29
,Änderungen im Schuldverhältnis,ies. The presented Strategic Copy-Pruning mechanism allows to . deduce the existence of a strategy in linear time (by static examination of the QIP-matrix) without explicitly traversing the strategy itself. We show that the implementation of our findings can massively speed up the search process.
sperse
发表于 2025-3-28 01:06:06
https://doi.org/10.1007/978-3-662-06181-7posed systems and other methods against a single engine to compare the strength in shogi. We showed the effectiveness of the proposed method from the experimental results and demonstrated that game AIs can improve their strength with advice. In addition, we found that the advice from a weaker game AI is still useful for game AI.
赞美者
发表于 2025-3-28 02:22:30
0302-9743 , held in Macao, China, in August 2019...The 12 full papers presented together with 2 invited papers were carefully reviewed and selected from 19 submissions. The selected papers are devoted to topics such as cooperation; single player games; mathematical approaches; nonogram: general and specific a
Water-Brash
发表于 2025-3-28 07:28:34
,Änderungen im Schuldverhältnis,– and some resulting fill patterns; we show four new permanently-inferior fill patterns; and we present three new prune results, based on strong-reversing, reversing, and game-history respectively. Experiments show these results slightly reducing solving time on 8.8 openings.
Inkling
发表于 2025-3-28 12:44:55
Textbook Oct 2010Latest editionmoves while playing. We apply MT-MCTS on decomposed games in the . framework. We present encouraging results on single player games showing that this approach is promising and opens new avenues for further research in the domain of decomposition exploitation. Complex compound games are solved from 2 times faster (.) up to 25 times faster (.).