An Actor-Critic Deep Reinforcement Learning Approach for Transmission Scheduling in Cognitive Internet of Things Systems.
Helin YangXianzhong XiePublished in: IEEE Syst. J. (2020)
Keyphrases
- reinforcement learning
- actor critic
- function approximation
- reinforcement learning algorithms
- machine learning
- neural network
- dynamic programming
- policy gradient
- reinforcement learning methods
- temporal difference
- natural actor critic
- approximate dynamic programming
- policy iteration
- control problems
- control strategies
- optimal control
- neuro fuzzy
- supervised learning
- cost function
- multi agent