您当前的位置：
首页 >
文章列表页 >
Reinforcement Learning for Generative AI：A Review
Research Review | 更新时间：2025-02-10
|

    • Reinforcement Learning for Generative AI：A Review

    • “In the field of machine learning, generative artificial intelligence has made breakthrough progress, and experts comprehensively review the latest developments to provide reference for industry practice and future research.”
    • Software Guide   Vol. 24, Issue 1, Pages: 183-192(2025)

    • DOI：10.11907/rjdk.232227    

      CLC： TP391.1

    • Published：15 January 2025，

      Received：02 December 2023，

    移动端阅览

  • YIN Yipeng,SHI Shuicai,HUANG Zili.Reinforcement Learning for Generative AI：A Review[J].Software Guide,2025,24(01):183-192. DOI： 10.11907/rjdk.232227.

  •  
  •  

0

Views

108

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Study on the Training Method of Bilateral Group Game Strategy Based on Reinforcement Learning and Enhanced Rule Base
Research on Path Planning of Mobile Robot with Improved SARSA Algorithm
Safe Reinforcement Learning Method Based on Robust Cross-Entropy and Gradient Optimization
Link Prediction Method Based on Sub-graph Feature Fusion

Related Author

ZHANG Dian
ZHANG Xiushan
PU Junsong
ZHOU Yihua
CHEN Zhuo
ZHOU Yonglu
LIU Hongjie
JING Zhengmiao

Related Institution

School of Cyber Science and Engineering，Wuhan University
School of Electronic Engineering， Naval University of Engineering
Key Laboratory of Digital Media Technology in Yunnan Province's Universities
School of Information， Yunnan University
School of Software， South China Normal University
0