On-Demand Channel Bonding in Heterogeneous WLANs: A Multi-Agent Deep Reinforcement Learning Approach.
Hang QiHao HuangZhiqun HuXiangming WenZhaoming LuPublished in: Sensors (2020)
Keyphrases
- reinforcement learning
- multi agent
- wireless local area networks
- wireless networks
- cooperative
- state space
- multi agent environments
- multi agent systems
- single agent
- function approximation
- reinforcement learning algorithms
- model free
- multi agent reinforcement learning
- multiagent systems
- optimal policy
- learning agents
- machine learning
- learning algorithm
- temporal difference
- multi channel
- reinforcement learning agents
- cellular networks
- action selection
- multiple agents
- channel assignment
- learning process