Empirical centroid fictitious play: An approach for distributed learning in multi-agent games

Keyphrases

• Centroid 100%
• Fictitious Play 100%
• Distributed Learning 100%
• Multi-agent Games 100%
• Convergence Results 30%
• Potential Game 20%
• Adaptation 10%
• Nash Equilibrium 10%
• Strategic Information Transmission 10%
• Permutation Invariant 10%
• Theoretical Convergence 10%
• Individual Action 10%
• Player Actions 10%
• Communication Graph 10%
• Communication Requirements 10%
• Non-strategic 10%
• Large-scale Game 10%

Computer Science

• multi agent 100%
• Distributed Learning 100%
• Nash Equilibrium 50%
• Potential Function 50%
• Communication Graph 50%
• Individual Action 50%
• Communication Requirement 50%

Mathematics

• Centroid 100%
• Convergence Result 37%
• Potential Games 25%
• Permutation 12%
• Nash Equilibrium 12%
• Potential Function 12%