activity
20092026
most citedElectrical Vehicles in the Smart Grid: A Mean Field Game Analysis

156 citations · 514 across the 50 of their papers we have counts for

collaborators
Showing 2011Show all

7 papers · 1 filter

cs.IT2011★ 109 cited

Quality-Of-Service Provisioning in Decentralized Networks: A Satisfaction Equilibrium Approach

Samir M. Perlaza, Hamidou Tembiné, Samson Lasaulce +1

This paper introduces a particular game formulation and its corresponding notion of equilibrium, namely the satisfaction form (SF) and the satisfaction equilibrium (SE). A game in…

eess.SY2011★ 2 cited

Large-scale games in large-scale systems

H. Tembine

Many real-world problems modeled by stochastic games have huge state and/or action spaces, leading to the well-known curse of dimensionality. The complexity of the analysis of larg…

cs.GT2011★ 156 cited

Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis

Romain Couillet, Samir Medina Perlaza, Hamidou Tembine +1

In this article, we investigate the competitive interaction between electrical vehicles or hybrid oil-electricity vehicles in a Cournot market consisting of electricity transaction…

math.OC2011★ 5 cited

Mean Field Asymptotics of Markov Decision Evolutionary Games and Teams

H. Tembine, J. -Y. Le Boudec, R. El-Azouzi +1

We introduce Mean Field Markov games with players, in which each individual in a large population interacts with other randomly selected players. The states and actions of each…

cs.GT2011

Evolutionary Games for Multiple Access Control

Quanyan Zhu, Hamidou Tembine, Tamer Basar

In this paper, we formulate an evolutionarymultiple access control game with continuousvariable actions and coupled constraints. We characterize equilibria of the game and show tha…

cs.GT2011

A Constrained Evolutionary Gaussian Multiple Access Channel Game

Quanyan Zhu, Hamidou Tembine, Tamer Basar

In this paper, we formulate an evolutionary multiple access channel game with continuous-variable actions and coupled rate constraints. We characterize Nash equilibria of the game…

cs.LG2011★ 2 cited

Heterogeneous Learning in Zero-Sum Stochastic Games with Incomplete Information

Quanyan Zhu, Hamidou Tembine, Tamer Basar

Learning algorithms are essential for the applications of game theory in a networking environment. In dynamic and decentralized settings where the traffic, topology and channel sta…