Multi-Agent Deep Reinforcement Learning for Massive Access in 5G and Beyond Ultra-Dense NOMA System.
Zhenjiang ShiJiajia LiuShangwei ZhangNei KatoPublished in: IEEE Trans. Wirel. Commun. (2022)
Keyphrases
- reinforcement learning
- multi agent
- multi agent environments
- function approximation
- access control
- multi agent systems
- learning agents
- state space
- learning algorithm
- reinforcement learning algorithms
- dynamic programming
- markov decision processes
- machine learning
- reinforcement learning agents
- optimal policy
- single agent
- intelligent agents
- massive data sets
- multiple agents
- transfer learning
- data analysis
- data sets
- learning capabilities
- random access
- multiagent systems
- real time
- genetic algorithm