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Titlebook: Advances in Computer Games; 17th International C Cameron Browne,Akihiro Kishimoto,Jonathan Schaeffe Conference proceedings 2022 Springer Na

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發(fā)表于 2025-3-21 19:26:55 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Computer Games
期刊簡稱17th International C
影響因子2023Cameron Browne,Akihiro Kishimoto,Jonathan Schaeffe
視頻videohttp://file.papertrans.cn/148/147205/147205.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Computer Games; 17th International C Cameron Browne,Akihiro Kishimoto,Jonathan Schaeffe Conference proceedings 2022 Springer Na
影響因子This book constitutes the refereed post-conference proceedings of the 17th International Conference on Advances in Computer Games, ACG 2021, which was held as a virtual event during November 23–25, 2021..?.The 22 full papers included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: learning in games; search in games; solving games; chess patterns; player modelling; and game systems..
Pindex Conference proceedings 2022
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978-3-031-11487-8Springer Nature Switzerland AG 2022
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Conference proceedings 2022 held as a virtual event during November 23–25, 2021..?.The 22 full papers included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: learning in games; search in games; solving games; chess patterns; player modelling; and game systems..
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New Findings Concerning the Initial Lesion,rove the generality of these approaches, new algorithms such as Nested Rollout Policy Adaptation (NRPA), have replaced the hand crafted heuristic with one that is trained ., using data collected during the search. Despite the limited expressiveness of the policy model, NRPA is able to outperform tra
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Identification of the Atheroma Germ, to tackle it efficiently. We present a more elaborate version of this algorithm to integrate some exterior knowledge or “scores”, that can for instance be provided by a neural network or a heuristic such as all-moves-as-first (AMAF) in the context of a Monte-Carlo Tree Search. We provide both theor
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