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2007 IEEE Symposium on Computational Intelligence and Games最新文献

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An Investigation into Tournament Poker Strategy using Evolutionary Algorithms 基于进化算法的锦标赛扑克策略研究
2007 IEEE Symposium on Computational Intelligence and Games Pub Date : 2007-04-01 DOI: 10.1109/CIG.2007.368087
Richard G. Carter, John Levine
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引用次数: 9
Information Sharing in the Iterated Prisoner's Dilemma Game 迭代囚徒困境博弈中的信息共享
2007 IEEE Symposium on Computational Intelligence and Games Pub Date : 2007-04-01 DOI: 10.1109/CIG.2007.368079
Ayman Ghoneim, H. Abbass, M. Barlow
{"title":"Information Sharing in the Iterated Prisoner's Dilemma Game","authors":"Ayman Ghoneim, H. Abbass, M. Barlow","doi":"10.1109/CIG.2007.368079","DOIUrl":"https://doi.org/10.1109/CIG.2007.368079","url":null,"abstract":"In the iterated prisoner's dilemma (IPD) game, players normally have access to their own history, without being able to communicate global information. In this paper, we introduce information sharing among players of the IPD game. During the co-evolutionary process, players obtain access, through information sharing, to the common strategy adopted by the majority of the population in the previous generation. An extra bit is added to the history portion in the strategy chromosome. This extra bit holds a value of 0 if the decisions to cooperate were greater than the decisions to defect in the last generation and 1 if otherwise. We show that information sharing alters the dynamics of the IPD game","PeriodicalId":365269,"journal":{"name":"2007 IEEE Symposium on Computational Intelligence and Games","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126443198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup 关于复杂和竞争性游戏领域的经验:强化学习与机器人世界杯
2007 IEEE Symposium on Computational Intelligence and Games Pub Date : 2007-04-01 DOI: 10.1109/CIG.2007.368074
Martin A. Riedmiller, T. Gabel
{"title":"On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup","authors":"Martin A. Riedmiller, T. Gabel","doi":"10.1109/CIG.2007.368074","DOIUrl":"https://doi.org/10.1109/CIG.2007.368074","url":null,"abstract":"RoboCup soccer simulation features the challenges of a fully distributed multi-agent domain with continuous state and action spaces, partial observability, as well as noisy perception and action execution. While the application of machine learning techniques in this domain represents a promising idea in itself, the competitive character of RoboCup also evokes the desire to head for the development of learning algorithms that are more than just a proof of concept. In this paper, we report on our experiences and achievements in applying reinforcement learning (RL) methods in the scope of our Brainstormers competition team within the Simulation League of RoboCup during the past years","PeriodicalId":365269,"journal":{"name":"2007 IEEE Symposium on Computational Intelligence and Games","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128483549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 57
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