Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems

Computer Science

• Model 100%
• Multi Agent Systems 100%
• Negative Effect 100%
• Complexity 100%
• Application 100%
• Real-World Problem 100%
• Reinforcement Learning 100%

Keyphrases

• Networked Systems 100%
• Local Region 100%
• Complex Dynamics 50%
• Sample Complexity 50%
• Application of Reinforcement Learning 50%
• Full-scale Simulation 50%
• Simultaneous Learning 50%
• Learning Model 50%
• Multi-agent Systems 50%
• Negative Effects 50%
• Real-world Problems 50%

INIS

• simulation 100%
• simulators 100%
• learning 66%
• dynamics 33%
• trajectories 33%
• applications 33%
• trains 33%
• periodicity 33%