Multi-agent spectrum access with sensing skipping based on reinforcement learning.
Linghui ZengJianzhao ZhangPublished in: Trans. Emerg. Telecommun. Technol. (2021)
Keyphrases
- reinforcement learning
- multi agent
- multi agent environments
- function approximation
- markov decision processes
- sensor networks
- cognitive radio
- reinforcement learning algorithms
- machine learning
- cooperative
- model free
- multi agent reinforcement learning
- optimal policy
- intelligent agents
- multi agent systems
- information access
- supervised learning
- state space
- multiagent systems
- spectrum sensing
- single agent
- multiagent reinforcement learning
- heterogeneous agents
- remote access
- robotic control
- agent oriented
- temporal difference
- multiple agents
- software agents
- infrared
- digital libraries
- learning algorithm