2 citations · 3 across the 3 of their papers we have counts for
4 papers
Learning in Large Populations With Anticipatory Payoffs: Bregman Meets Willems and Lyapunov
Tzuyu Jeng, Nuno C. Martins
We study evolutionary Nash equilibrium learning in large populations whose payoffs are generated by dynamic mechanisms. Counterclockwise dissipativity (CCW) provides a passivity-li…
Nash Equilibrium Learning In Large Populations With First-Order Payoff Modifications
Matthew S. Hankins, Jair Certório, Tzuyu Jeng +1
We establish Nash equilibrium learning in large populations of noncooperative, strategic agents. Our analysis considers the broadest class to date of payoff mechanisms with first-o…
Counterclockwise Dissipativity, Potential Games and Evolutionary Nash Equilibrium Learning
Nuno C. Martins, Jair Certório, Matthew S. Hankins
We use system-theoretic passivity methods to study evolutionary Nash equilibria learning in large populations of agents engaged in strategic, non-cooperative interactions. The agen…
Differential Equation Approximations for Population Games using Elementary Probability
Semih Kara, Nuno C. Martins
Population games model the evolution of strategic interactions among a large number of uniform agents. Due to the agents' uniformity and quantity, their aggregate strategic choices…