activity
20162022
most citedDecentralized Fictitious Play in Near-Potential Games with Time-Varying Communication Networks

1 citations · 1 across the 6 of their papers we have counts for

collaborators

9 papers

cs.GT2022

A Market Mechanism for Trading Flexibility Between Interconnected Electricity Markets

Hossein Khazaei, Ceyhun Eksin, Roohallah Khatami +1

Electricity markets differ in their ability to meet power imbalances in short notice in a controlled fashion. Relatively flexible markets have the ability to ramp up (or down) powe…

cs.GT2022

Decentralized Fictitious Play Converges Near a Nash Equilibrium in Near-Potential Games

Sarper Aydin, Sina Arefizadeh, Ceyhun Eksin

We investigate convergence of decentralized fictitious play (DFP) in near-potential games, wherein agents preferences can almost be captured by a potential function. In DFP agents…

math.OC2021

Decentralized Inertial Best-Response with Voluntary and Limited Communication in Random Communication Networks

Sarper Aydın, Ceyhun Eksin

Multiple autonomous agents interact over a random communication network to maximize their individual utility functions which depend on the actions of other agents. We consider dece…

math.OC20211 cited

Decentralized Fictitious Play in Near-Potential Games with Time-Varying Communication Networks

Sarper Aydın, Sina Arefizadeh, Ceyhun Eksin

We study the convergence properties of decentralized fictitious play (DFP) for the class of near-potential games where the incentives of agents are nearly aligned with a potential…

math.OC2020

An Iterative Mechanism for Coupling Electricity Markets

Alfredo Garcia, Roohallah Khatami, Ceyhun Eksin +1

The coordinated operation of interconnected but locally controlled electricity markets is generally referred to as a "coupling". In this paper we propose a new mechanism design for…

eess.SY2019

Distributed Fictitious Play in Potential Games with Time-Varying Communication Networks

Sina Arefizadeh, Ceyhun Eksin

We propose a distributed algorithm for multiagent systems that aim to optimize a common objective when agents differ in their estimates of the objective-relevant state of the envir…