3 citations · 3 across the 7 of their papers we have counts for
8 papers
Infinite Horizon Mean-Field Terminal Value Problem
Uğur Aydın, Tamer Başar, Naci Saldi
We introduce a class of finite- and infinite-horizon discrete-time control problems for studying macroscale systems in discrete time, which we refer to as mean-field terminal value…
Conditioning Degenerate Diffusion Models
Uğur Aydın, Tamer Başar
Current conditioned generative models heavily rely on score functions for guidance during training. When the generative model is a diffusion process with a singular diffusion coeff…
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…
Variational Contraction Conditions for Iterative Algorithms in Multi-Population Discrete-Time Regularized Mean-Field Games
Uğur Aydın, Tamer Başar
In this work, we study the contraction conditions of iterative algorithms for stationary and finite-horizon discrete-time regularized mean-field games (MFGs) with multiple populati…
Beyond Gaussian Assumptions: A General Fractional HJB Control Framework for Lévy-Driven Heavy-Tailed Channels in 6G
Mengqi Li, Lixin Li, Wensheng Lin +2
Emerging 6G wireless systems suffer severe performance degradation in challenging environments like high-speed trains traversing dense urban corridors and Unmanned Aerial Vehicles…
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…
Robust Reinforcement Learning for Risk-Sensitive Linear Quadratic Gaussian Control
Leilei Cui, Tamer Başar, Zhong-Ping Jiang
This paper proposes a novel robust reinforcement learning framework for discrete-time linear systems with model mismatch that may arise from the sim-to-real gap. A key strategy is…