样式 发表于 2025-3-28 18:34:50
Schuldrecht und SchuldverhältnisWe present XH-search, a Hex connection finding algorithm. XH-search extends Anshelevich’s H-search by incorporating a new Crossing Rule to find braids, connections built from overlapping subconnections.Conclave 发表于 2025-3-28 20:45:01
http://reply.papertrans.cn/15/1473/147203/147203_42.png不足的东西 发表于 2025-3-29 00:36:02
Subjektive Rechte und ihre Grenzent parallelization of the search has become an important issue. We present a new lock-free parallel algorithm for Monte-Carlo tree search which takes advantage of the memory model of the IA-32 and Intel-64 CPU architectures and intentionally ignores rare faulty updates of node values. We show that th冥想后 发表于 2025-3-29 03:49:50
http://reply.papertrans.cn/15/1473/147203/147203_44.png故意 发表于 2025-3-29 07:54:57
http://reply.papertrans.cn/15/1473/147203/147203_45.pngfinale 发表于 2025-3-29 13:37:16
Rechtssubjekte und Rechtsobjekte be different in the same row or column. Kakuro can be modeled as a constraint satisfaction problem. Monte-Carlo methods can improve on traditional search methods for Kakuro. We show that a Nested Monte-Carlo Search at level 2 gives good results. This is the first time a nested search of level 2 givprogestin 发表于 2025-3-29 15:49:54
Subjektive Rechte und ihre Grenzen algorithms, a deeper understanding of when and how the different enhancements work is desirable. To avoid the hard to analyze intricacies of tournament-level programs in complex games, this work focuses on a simple abstract game, which is designed to be ideal for history-based heuristics such as RA感情脆弱 发表于 2025-3-29 22:08:25
http://reply.papertrans.cn/15/1473/147203/147203_48.pngIncompetent 发表于 2025-3-30 02:02:36
Peter Apathy,Peter Bydlinski,Andreas Riedlerights and techniques. With multi-core processors becoming established in the recent past, the question of parallelizing PNS has gained new urgency. This article presents a new technique called Randomized Parallel Proof-Number Search (RPPNS) for parallelizing PNS on multi-core systems with shared memobstinate 发表于 2025-3-30 05:59:00
https://doi.org/10.1007/978-3-211-99435-1 situations, but less so in more complex game and model domains. This paper addresses both tasks by using Bayesian inference in a benchmark space of reference agents. The concepts are explained and demonstrated using the game of chess but the model applies generically to any domain with quantifiable