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: CoRR (2021)
Keyphrases
- multi objective
- optimization algorithm
- reinforcement learning
- multi agent
- optimization method
- function approximation
- cooperative
- state space
- machine learning
- multi agent systems
- network structure
- intelligent agents
- global optimization
- hierarchical reinforcement learning
- optimization process
- model free
- reinforcement learning algorithms
- learning agents
- management system
- learning algorithm
- complex networks
- multiagent systems
- optimization problems
- partially observable markov decision processes
- social networks
- multiple layers
- multi agent reinforcement learning
- multi agent environments
- optimal policy
- deep learning
- multiagent reinforcement learning