research
∙
10/29/2022
Recursive Reasoning in Minimax Games: A Level k Gradient Play Method
Despite the success of generative adversarial networks (GANs) in generat...
share
research
∙
11/18/2021
Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting
In this paper, we propose a second-order extension of the continuous-tim...
research
∙
11/21/2020
Continuous-Time Convergence Rates in Potential and Monotone Games
In this paper, we provide exponential rates of convergence to the Nash e...
research
∙
12/07/2019
Continuous-time Discounted Mirror-Descent Dynamics in Monotone Concave Games
In this paper, we consider concave continuous-kernel games characterized...
research
∙
08/13/2018
Distributed GNE seeking under partial-decision information over networks via a doubly-augmented operator splitting approach
We consider distributed computation of generalized Nash equilibrium (GNE...
research
∙
08/13/2018
On Passivity, Reinforcement Learning and Higher-Order Learning in Multi-Agent Finite Games
In this paper, we propose a passivity-based methodology for analysis and...
research
∙
02/07/2018