AWL
发表于 2025-3-26 23:01:26
https://doi.org/10.1007/978-1-4020-6395-4o the main memory of a computer during tournaments. In this paper, a novel knowledge abstraction strategy is proposed to compress endgame databases. The goal is to obtain succinct knowledge for practical endgames. A specialized goal-oriented search method is described and applied on the important en
critic
发表于 2025-3-27 04:39:39
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semiskilled
发表于 2025-3-27 08:13:37
The Variational Approach to Fracture has to make the best decisions first to choose the dice to keep, then to choose between continuing or stopping depending on the previous rolls and on the available resources. Markov Decision Processes (MDPs) offer the formal framework to model this game. The two main problems are first to determine
Osteoporosis
发表于 2025-3-27 12:20:34
Score Bounded Monte-Carlo Tree Search,as more than two outcomes. It is for example the case in games that can end in draw positions. In this case it improves significantly a MCTS solver to take into account bounds on the possible scores of a node in order to select the nodes to explore. We apply our algorithm to solving Seki in the game of Go and to Connect Four.
llibretto
发表于 2025-3-27 14:48:42
A Human-Computer Team Experiment for 9x9 Go, we have to ask ourselves how can computers make effective use of the ever-increasing computer power. In 2002, we started a human-computer team experiment with very long thinking times and no restrictions on the procedure, to see how strong such a team could be. We will introduce our experimental method and show the results so far.
摇摆
发表于 2025-3-27 18:20:55
https://doi.org/10.1007/978-3-7908-1932-8For the first time, automated Hex solvers have surpassed humans in their ability to solve Hex positions: they can now solve many 9×9 Hex openings. We summarize the methods that attained this milestone, and examine the future of Hex solvers.
Lacerate
发表于 2025-3-27 22:20:32
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gimmick
发表于 2025-3-28 02:13:40
https://doi.org/10.1007/978-3-642-17928-0chess; games; go; maze design; monte-carlo search; monte-carlo simulation; multi-player games; pickomino; ra
Emg827
发表于 2025-3-28 10:11:19
978-3-642-17927-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
玩笑
发表于 2025-3-28 13:15:46
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