Matching Games and Algorithms for General Video Game Playing
Matching Games and Algorithms for General Video Game Playing
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一般视频游戏的匹配游戏和算法
DOI：
10.1609/aiide.v12i1.12884
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
J. Togelius
中科院分区：
文献类型：
--
作者：
Philip Bontrager;A. Khalifa;André Mendes;J. Togelius
本文考察了一些人工智能代理在一般视频游戏比赛中的游戏性能。通过分析这些结果，本文试图洞察当前一代视频游戏算法的优势和劣势。本文还根据定义不同游戏的内在特征对给定的游戏进行了分析。最后，基于性能将游戏功能与AI代理进行匹配，以演示算法组合作为一般视频游戏玩技术的合理情况。
This paper examines the performance of a number of AI agents on the games included in the General Video Game Playing Competition. Through analyzing these results, the paper seeks to provide insight into the strengths and weaknesses of the current generation of video game playing algorithms. The paper also provides an analysis of the given games in terms of inherent features which define the different games. Finally, the game features are matched with AI agents, based on performance, in order to demonstrate a plausible case for algorithm portfolios as a general video game playing technique.
适用于一般视频游戏的基于知识的快速进化 MCTS
DOI：
10.1109/cig.2014.6932868
发表时间：
2014
期刊：
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影响因子：
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作者：
Perez D
通讯作者：
Perez D