Cellular Learning Automata: Theory and Applications
| Hoofdauteurs: | , , , |
|---|---|
| Coauteur: | |
| Samenvatting: | XVI, 365 p. 177 illus., 174 illus. in color. text |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| Editie: | 1st ed. 2021. |
| Reeks: | Studies in Systems, Decision and Control,
307 |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-030-53141-6 |
| Formaat: | Elektronisch Boek |
Inhoudsopgave:
- Varieties of Cellular Learning Automata: An overview
- Cellular learning automata: A bibliometric analysis
- Learning from multiple reinforcements in cellular learning automata
- Applications of cellular learning automata and reinforcement learning in global optimization
- Applications of multi-reinforcement cellular learning automata in channel assignment
- Cellular Learning Automata for Collaborative Loss Sharing
- Cellular Learning Automata for Competitive Loss Sharing
- Cellular Learning Automata versus Multi-Agent Reinforcement Learning.