J. R. Bezerra, L. F. Góes, Alysson Ribeiro Da Silva
{"title":"Development of an Autonomous Agent based on Reinforcement Learning for a Digital Fighting Game","authors":"J. R. Bezerra, L. F. Góes, Alysson Ribeiro Da Silva","doi":"10.1109/SBGames51465.2020.00017","DOIUrl":null,"url":null,"abstract":"In this work, an autonomous agent based on reinforcement learning is implemented in a digital fighting game. The implemented agent uses Fusion Architecture for Learning, COgnition, and Navigation (FALCON) and Associative Resonance Map (ARAM) neural networks. The experimental results show that the autonomous agent is able to develop game strategies using the experience acquired in the matches, and achieves a winning rate of up to 90% against an agent with fixed behavior.","PeriodicalId":335816,"journal":{"name":"2020 19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBGames51465.2020.00017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this work, an autonomous agent based on reinforcement learning is implemented in a digital fighting game. The implemented agent uses Fusion Architecture for Learning, COgnition, and Navigation (FALCON) and Associative Resonance Map (ARAM) neural networks. The experimental results show that the autonomous agent is able to develop game strategies using the experience acquired in the matches, and achieves a winning rate of up to 90% against an agent with fixed behavior.