rl4j:JVM 的深度强化学习（Deep-Q，A3C）
RL4J：Java 强化学习
有关 RL4J 的支持问题，请联系 。
RL4J 是一个与 deeplearning4j 集成并在 Apache 2.0 开源许可下发布的强化学习框架。
DQN（带双 DQN 的深度 Q 学习）
异步强化学习（A3C，异步 NStepQlearning）
低维（信息数组）和高维（像素）输入。
一篇有用的博客文章，向您介绍强化学习、DQN 和 Async RL：
快速开始
安装
可视化
厄运
Doom 还没有准备好，但如果你喜欢冒险，你可以通过一些额外的步骤让它工作：
您将需要 vizdoom，编译本机库并将其移动到项目根目录中的文件夹中
export MAVEN_OPTS=-Djava.library.path=THEFOLDEROFTHELIB
mvn compile exec:java -Dexec.mainClass="YOURMAINCL
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明