Cellular Learning Automata: Theory and Applications
| Auteurs principaux: | , , , |
|---|---|
| Collectivité auteur: | |
| Résumé: | XVI, 365 p. 177 illus., 174 illus. in color. text |
| Langue: | anglais |
| Publié: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| Édition: | 1st ed. 2021. |
| Collection: | Studies in Systems, Decision and Control,
307 |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/978-3-030-53141-6 |
| Format: | Électronique Livre |
Table des matières:
- 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.