Optimization for Master-UAV-Powered Auxiliary-Aerial-IRS-Assisted IoT Networks: An Option-Based Multi-Agent Hierarchical Deep Reinforcement Learning Approach.
Jingren XuXin KangRonghaixiang ZhangYing-Chang LiangSumei SunPublished in: IEEE Internet Things J. (2022)
Keyphrases
- reinforcement learning
- multi agent
- multi agent systems
- optimization algorithm
- state space
- reinforcement learning algorithms
- function approximation
- machine learning
- markov decision processes
- multiagent systems
- intelligent agents
- cloud computing
- optimization problems
- cooperative
- social networks
- management system
- hierarchical reinforcement learning
- multi agent environments
- learning algorithm
- genetic algorithm
- model free
- location information
- team formation
- multiple layers
- function approximators
- deep learning
- single agent
- neural network
- action selection
- optimization process
- big data
- hierarchical structure
- learning process
- dynamic programming