4 papers
Independent Reinforcement Learning in Discounted Markov Games
Asrin Efe Yorulmaz, Ugur Aydin, Tamer Basar
In this work, we study radically uncoupled learning in discounted general-sum Markov games. Assuming `` for ", we show that, for every fixed discount f…
Horizon-Independent Contraction for Continuous-Time Discounted Regularized Mean-Field Games
Junji Yan, Uğur Aydın, Tamer Başar
We study contraction properties of non-stationary continuous-time mean-field games (MFGs) under discounting and entropy regularization. The state of the representative agent evolve…
Monotone Inclusion Approach to Weakly Monotone Discrete-Time Finite-Horizon Mean-Field Games
Uğur Aydın, Tamer Başar, Naci Saldi
We revisit the problem of computing mean-field equilibria (MFEs) in discrete-time, monotone, finite-horizon mean-field games (MFGs). We show that, when the transition kernel is ind…
Approximation of Discrete-Time Infinite-Horizon Mean-Field Equilibria via Finite-Horizon Mean-Field Equilibria
Uğur Aydın, Tamer Başar, Naci Saldi
We address in this paper a fundamental question that arises in mean-field games (MFGs), namely whether mean-field equilibria (MFE) for discrete-time finite-horizon MFGs can be used…