Evolution of Neural Networks

R. Miikkulainen
{"title":"Evolution of Neural Networks","authors":"R. Miikkulainen","doi":"10.1145/3583133.3595036","DOIUrl":null,"url":null,"abstract":"I . Original role (since 1990s): RL Tasks & especially POMDP I Both the structure and the weights evolved (no training) I Power from recurrency; behavior I . A new role (since 2016): Optimization of Deep Learning Nets I Architecture, hyperparameters, functions evolved; weights trained I Power from complexity I . A possible future role: Emergence of intelligence I Body/brain co-evolution; Competitive co-evolution I Evolution of memory, language, learning 3/62 I. Reinforcement Learning / POMDP Tasks","PeriodicalId":422029,"journal":{"name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3583133.3595036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

I . Original role (since 1990s): RL Tasks & especially POMDP I Both the structure and the weights evolved (no training) I Power from recurrency; behavior I . A new role (since 2016): Optimization of Deep Learning Nets I Architecture, hyperparameters, functions evolved; weights trained I Power from complexity I . A possible future role: Emergence of intelligence I Body/brain co-evolution; Competitive co-evolution I Evolution of memory, language, learning 3/62 I. Reinforcement Learning / POMDP Tasks
神经网络的进化
我。最初的角色(自20世纪90年代以来):RL任务,特别是POMDP I结构和权重都是进化的(没有训练)I从递归中获得权力;行为;新角色(自2016年起):深度学习网络的优化I架构,超参数,功能演变;重量训练I从复杂性的力量I。未来可能的角色:智能的出现I体脑协同进化;3/62 .强化学习/ POMDP任务
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信