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On Lookahead Equilibria in Congestion Games

Mathematical Structures in Computer Science, 2013
We investigate the issues of existence and efficiency of lookahead equilibria in congestion games. Lookahead equilibria, whose study has been initiated by Mirrokniet al.(2012), correspond to the natural extension of pure Nash equilibria in which the players, when making use of global information in order to predict subsequent reactions of the other ...
Vittorio Bilò   +2 more
openaire   +6 more sources

Welfare maximization in congestion games

Proceedings of the 7th ACM conference on Electronic commerce, 2006
Congestion games are non-cooperative games where the utility of a player from using a certain resource depends on the total number of players that are using the same resource. While most work so far took a distributed game-theoretic approach to this problem, this paper studies centralized solutions for congestion games.
Liad Blumrosen, Shahar Dobzinski
openaire   +1 more source

Congestion Games with Agent Failures

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
We propose a natural model for agent failures in congestion games. In our model, each of the agents may fail to participate in the game, introducing uncertainty regarding the set of active agents. We examine how such uncertainty may change the Nash equilibria (NE) of the game.
Reshef Meir   +3 more
openaire   +1 more source

The Demand-Side Management and Control of Smart Grids Based on Weighted Network Congestion Games

IEEE Transactions on Automation Science and Engineering
Based on the semi-tensor product of matrices, this article considers the demand-side management and state-flipped control of smart grids. Firstly, the smart grids with single-layer and multi-layer power companies can be modelled by a potential game under
Jinhuan Wang, Min Liu, Han Wu
semanticscholar   +1 more source

On Bidimensional Congestion Games

2012
We introduce multidimensional congestion games, that is, congestion games whose set of players can be partitioned into k+1 clusters C0,C1,…,Ck. Players in C0 have full information about all the other participants in the game, while players in Ci, for any 1≤i≤k, have full information only about the members of C0∪Ci and are unaware of all the other ones.
Vittorio Bilò   +2 more
openaire   +3 more sources

Efficient Kernelized Learning in Polyhedral Games Beyond Full-Information: From Colonel Blotto to Congestion Games

arXiv.org
We examine the problem of efficiently learning coarse correlated equilibria (CCE) in polyhedral games, that is, normal-form games with an exponentially large number of actions per player and an underlying combinatorial structure.
A. Kontogiannis   +4 more
semanticscholar   +1 more source

Information Signaling With Concurrent Monetary Incentives in Bayesian Congestion Games

IEEE transactions on intelligent transportation systems (Print)
The uncertainty held by a system’s users can cause ineffective decision-making. Nowhere is this more apparent than in transportation networks, where drivers’ uncertainty over current road/traffic conditions can negatively alter their routing choices.
Bryce L. Ferguson   +2 more
semanticscholar   +1 more source

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games

arXiv.org
We introduce an online learning algorithm in the bandit feedback model that, once adopted by all agents of a congestion game, results in game-dynamics that converge to an $\epsilon$-approximate Nash Equilibrium in a polynomial number of rounds with ...
L. Dadi   +4 more
semanticscholar   +1 more source

Human-in-the-Loop Learning for Dynamic Congestion Games

IEEE Transactions on Mobile Computing
Today mobile users learn and share their traffic observations via crowdsourcing platforms (e.g., Google Maps and Waze). Yet such platforms simply cater to selfish users’ myopic interests to recommend the shortest path, and do not encourage enough users ...
Hongbo Li, Lingjie Duan
semanticscholar   +1 more source

Distributed Learning for Dynamic Congestion Games

International Symposium on Information Theory
Today mobile users learn and share their traffic observations via crowdsourcing platforms (e.g., Google Maps and Waze). Yet such platforms myopically recommend the currently shortest path to users, and selfish users are unwilling to travel to longer ...
Hongbo Li, Lingjie Duan
semanticscholar   +1 more source

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