Dynamic Content Caching Based on Actor-Critic Reinforcement Learning for IoT Systems.

Lifeng Lai Fu-Chun Zheng Wanli Wen Jingjing Luo Ge Li

Published in: VTC Fall (2022)

Keyphrases

dynamic content
reinforcement learning
actor critic
data intensive
management system
web applications
web server
function approximation
multi agent
policy gradient
supervised learning
temporal difference
approximate dynamic programming
website
query processing
state space
data access
model free