Applications of Deep Reinforcement Learning in Communications and Networking: A Survey.
Nguyen Cong LuongDinh Thai HoangShimin GongDusit NiyatoPing WangYing-Chang LiangDong In KimPublished in: IEEE Commun. Surv. Tutorials (2019)
Keyphrases
- reinforcement learning
- function approximation
- state space
- distributed computing
- model free
- temporal difference learning
- optimal policy
- communication systems
- multi agent
- learning process
- supervised learning
- machine learning
- peer to peer
- deep learning
- learning capabilities
- optimal control
- temporal difference
- markov decision processes
- high speed
- learning algorithm
- markov decision process
- control policy
- cyber physical systems
- learning problems
- reinforcement learning algorithms
- communication networks
- real time
- transfer learning
- dynamic programming
- neural network