{"title":"游戏去随机化","authors":"Samuel Epstein","doi":"arxiv-2405.16353","DOIUrl":null,"url":null,"abstract":"Using Kolmogorov Game Derandomization, upper bounds of the Kolmogorov\ncomplexity of deterministic winning players against deterministic environments\ncan be proved. This paper gives improved upper bounds of the Kolmogorov\ncomplexity of such players. This paper also generalizes this result to\nprobabilistic games. This applies to computable, lower computable, and\nuncomputable environments. We characterize the classic even-odds game and then\ngeneralize these results to time bounded players and also to all zero-sum\nrepeated games. We characterize partial game derandomization. But first, we\nstart with an illustrative example of game derandomization, taking place on the\nisland of Crete.","PeriodicalId":501024,"journal":{"name":"arXiv - CS - Computational Complexity","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Game Derandomization\",\"authors\":\"Samuel Epstein\",\"doi\":\"arxiv-2405.16353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using Kolmogorov Game Derandomization, upper bounds of the Kolmogorov\\ncomplexity of deterministic winning players against deterministic environments\\ncan be proved. This paper gives improved upper bounds of the Kolmogorov\\ncomplexity of such players. This paper also generalizes this result to\\nprobabilistic games. This applies to computable, lower computable, and\\nuncomputable environments. We characterize the classic even-odds game and then\\ngeneralize these results to time bounded players and also to all zero-sum\\nrepeated games. We characterize partial game derandomization. But first, we\\nstart with an illustrative example of game derandomization, taking place on the\\nisland of Crete.\",\"PeriodicalId\":501024,\"journal\":{\"name\":\"arXiv - CS - Computational Complexity\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computational Complexity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.16353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Complexity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.16353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Kolmogorov Game Derandomization, upper bounds of the Kolmogorov
complexity of deterministic winning players against deterministic environments
can be proved. This paper gives improved upper bounds of the Kolmogorov
complexity of such players. This paper also generalizes this result to
probabilistic games. This applies to computable, lower computable, and
uncomputable environments. We characterize the classic even-odds game and then
generalize these results to time bounded players and also to all zero-sum
repeated games. We characterize partial game derandomization. But first, we
start with an illustrative example of game derandomization, taking place on the
island of Crete.