14 citations · 59 across the 48 of their papers we have counts for
4 papers · 2 filters
Stability of Gradient Learning Dynamics in Continuous Games: Scalar Action Spaces
Benjamin J. Chasnov, Daniel Calderone, Behçet Açıkmeşe +2
Learning processes in games explain how players grapple with one another in seeking an equilibrium. We study a natural model of learning based on individual gradients in two-player…
Stability of Gradient Learning Dynamics in Continuous Games: Vector Action Spaces
Benjamin J. Chasnov, Daniel Calderone, Behçet Açıkmeşe +2
Towards characterizing the optimization landscape of games, this paper analyzes the stability of gradient-based dynamics near fixed points of two-player continuous games. We introd…
Disturbance Decoupling for Gradient-based Multi-Agent Learning with Quadratic Costs
Sarah H. Q. Li, Lillian Ratliff, Behçet Açıkmeşe
Motivated by applications of multi-agent learning in noisy environments, this paper studies the robustness of gradient-based learning dynamics with respect to disturbances. While d…
Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games
Sarah H. Q. Li, Assalé, Adjé +2
Motivated by uncertain parameters encountered in Markov decision processes (MDPs) and stochastic games, we study the effect of parameter uncertainty on Bellman operator-based algor…