A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning.
Arnu PretoriusScott CameronElan Van BiljonTom MakkinkShahil MawjeeJeremy du PlessisJonathan ShockAlexandre LaterreKarim BeguirPublished in: CoRR (2020)
Keyphrases
- resource management
- theoretic analysis
- multi agent reinforcement learning
- management system
- resource allocation
- stochastic games
- intelligent agents
- distributed control
- multi agent
- quality of service
- resource utilization
- reinforcement learning
- optimal control
- video games
- game theory
- control system
- learning agents
- multi agent learning
- resource usage
- nash equilibrium
- multi agent systems
- cooperative
- knowledge base