Network slicing for vehicular communications: a multi-agent deep reinforcement learning approach.
Zoubeir MlikaSoumaya CherkaouiPublished in: Ann. des Télécommunications (2021)
Keyphrases
- reinforcement learning
- multi agent
- communication networks
- network management
- network configuration
- machine learning
- heterogeneous networks
- network structure
- state space
- complex networks
- computer networks
- cooperative
- propagation model
- network traffic
- function approximation
- communication patterns
- single agent
- learning algorithm
- markov decision processes
- optimal policy
- multi agent systems
- traffic flow
- multiple agents
- model free
- network model
- reinforcement learning algorithms
- multiagent systems
- leader follower