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Open AccessProceedings Article

Graphical models for game theory

TLDR
The main result is a provably correct and efficient algorithm for computing approximate Nash equilibria in one-stage games represented by trees or sparse graphs.
Abstract
We introduce a compact graph-theoretic representation for multi-party game theory. Our main result is a provably correct and efficient algorithm for computing approximate Nash equilibria in one-stage games represented by trees or sparse graphs.

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Book

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

TL;DR: This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., online trading, offers a newly seen computer science perspective on multi agent systems, while integrating ideas from operations research, game theory, economics, logic, and even philosophy and linguistics.
Journal ArticleDOI

Nash q-learning for general-sum stochastic games

TL;DR: This work extends Q-learning to a noncooperative multiagent context, using the framework of general-sum stochastic games, and implements an online version of Nash Q- learning that balances exploration with exploitation, yielding improved performance.
MonographDOI

Solving systems of polynomial equations

TL;DR: Polynomials in one variable Grobner bases of zero-dimensional ideals Bernstein's theorem and fewnomials as mentioned in this paper are the primary decomposition of polynomial systems in economics and statistics.
Book

A Concise Introduction to Decentralized POMDPs

TL;DR: This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs).
Journal Article

The complexity of computing a Nash equilibrium

TL;DR: This proof uses ideas from the recently-established equivalence between polynomial time solvability of normal form games and graphical games, establishing that these kinds of games can simulate a PPAD-complete class of Brouwer functions.
References
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Book ChapterDOI

Non-cooperative games

John F. Nash
TL;DR: In this article, it was shown that the set of equilibrium points of a two-person zero-sum game can be defined as a set of all pairs of opposing "good" strategies.
Journal ArticleDOI

Nash and Correlated Equilibria: Some Complexity Considerations

TL;DR: In this paper, the complexity of computing Nash and correlated equilibria for a finite game in normal form was studied and it was shown that the problem is NP-hard for Nash equilibrium but polynomial for correlated equilibrium.
Journal ArticleDOI

Multi-agent influence diagrams for representing and solving games

TL;DR: This paper provides a sound and complete graphical criterion for determining strategic relevance, and shows how strategic relevance can be used to detect structure in games, allowing a large game to be broken up into a set of interacting smaller games, which can be solved in sequence.
Book ChapterDOI

Chapter 2 Computation of equilibria in finite games

TL;DR: In this article, the authors provide an overview of the latest state-of-the-art methods for numerical computation of Nash equilibria for general finite n-person games.