{"title":"《星际争霸》中单位控制的蒙特卡洛规划","authors":"Zhe Wang, K. Nguyen, R. Thawonmas, F. Rinaldo","doi":"10.1109/GCCE.2012.6379597","DOIUrl":null,"url":null,"abstract":"This paper presents an application of Monte-Carlo planning (MCPlan) to controlling units in a RTS game StarCraft. We apply an ε - greedy algorithm to model the opponent in a simulation for improving MCPlan's performance. Experimental results are provided at the end of this paper, which show the potential of MCPlan in this domain.","PeriodicalId":299732,"journal":{"name":"The 1st IEEE Global Conference on Consumer Electronics 2012","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Monte-Carlo planning for unit control in StarCraft\",\"authors\":\"Zhe Wang, K. Nguyen, R. Thawonmas, F. Rinaldo\",\"doi\":\"10.1109/GCCE.2012.6379597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an application of Monte-Carlo planning (MCPlan) to controlling units in a RTS game StarCraft. We apply an ε - greedy algorithm to model the opponent in a simulation for improving MCPlan's performance. Experimental results are provided at the end of this paper, which show the potential of MCPlan in this domain.\",\"PeriodicalId\":299732,\"journal\":{\"name\":\"The 1st IEEE Global Conference on Consumer Electronics 2012\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 1st IEEE Global Conference on Consumer Electronics 2012\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2012.6379597\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 1st IEEE Global Conference on Consumer Electronics 2012","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2012.6379597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Monte-Carlo planning for unit control in StarCraft
This paper presents an application of Monte-Carlo planning (MCPlan) to controlling units in a RTS game StarCraft. We apply an ε - greedy algorithm to model the opponent in a simulation for improving MCPlan's performance. Experimental results are provided at the end of this paper, which show the potential of MCPlan in this domain.
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