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» Probabilistic Techniques in Algorithmic Game Theory
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DAC
2007
ACM
14 years 15 days ago
A Probabilistic Approach to Model Resource Contention for Performance Estimation of Multi-featured Media Devices
The number of features that are supported in modern multimedia devices is increasing faster than ever. Estimating the performance of such applications when they are running on sha...
Akash Kumar, Bart Mesman, Henk Corporaal, Bart D. ...
SAGT
2009
Springer
140views Game Theory» more  SAGT 2009»
14 years 3 months ago
Price of Stability in Survivable Network Design
We study the survivable version of the game theoretic network formation model known as the Connection Game, originally introduced in [5]. In this model, players attempt to connect ...
Elliot Anshelevich, Bugra Caskurlu
ATAL
2007
Springer
14 years 2 months ago
Reinforcement learning in extensive form games with incomplete information: the bargaining case study
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Ni...
ATAL
2010
Springer
13 years 9 months ago
Using counterfactual regret minimization to create competitive multiplayer poker agents
Games are used to evaluate and advance Multiagent and Artificial Intelligence techniques. Most of these games are deterministic with perfect information (e.g. Chess and Checkers)....
Nicholas Abou Risk, Duane Szafron
ATAL
2011
Springer
12 years 8 months ago
Quality-bounded solutions for finite Bayesian Stackelberg games: scaling up
The fastest known algorithm for solving General Bayesian Stackelberg games with a finite set of follower (adversary) types have seen direct practical use at the LAX airport for o...
Manish Jain, Christopher Kiekintveld, Milind Tambe