If multi-agent learning is the answer, what is the question?
type: Item
instance of: scholarly article
title: If multi-agent learning is the answer, what is the question?
zbMATH Open document ID: 1168.68493
author: Yoav Shoham
author: Rob Powers
author: Trond Grenager
published in: Artificial Intelligence
publication date: 2009-07-09T00:00:00Z
full work available at URL: refs4122247000000001156.pdf
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 91A26
zbMATH DE Number: 5576672
describes a project that uses: GAMUT
describes a project that uses: R-MAX
describes a project that uses: AdaBoost.MH
MaRDI profile type: Publication
OpenAlex ID: W2156194062
cites work: Q3241581
cites work: Q3234879
cites work: 10.1162/153244303765208377
cites work: Efficient learning equilibrium
cites work: Q5808755
cites work: Sophisticated experience-weighted attraction learning and strategic teaching in repeated games
cites work: Regret in the on-line decision problem
cites work: Learning mixed equilibria
cites work: Consistency and cautious fictitious play
cites work: Q4223194
cites work: Q3245635
cites work: A Simple Adaptive Procedure Leading to Correlated Equilibrium
cites work: 10.1162/1532443041827880
cites work: Learning to play games in extensive form by valuation
cites work: Rational Learning Leads to Nash Equilibrium
cites work: Q4424080
cites work: Representations and solutions for game-theoretic problems
cites work: The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes
cites work: Q4398828
cites work: Q5721545
cites work: ``Evolutionary'' selection dynamic in games: Convergence and limit properties
cites work: An iterative method of solving a game
cites work: Q3040961
cites work: \({\mathcal Q}\)-learning
DOI: 10.1016/J.ARTINT.2006.02.006
Recommended article: Multiagent learning is not the answer. It is the question
Recommended article: Q4202918
Recommended article: Multi-agent machine learning: a reinforcement approach
Recommended article: The possible and the impossible in multi-agent learning
Recommended article: Perspectives on multiagent learning
Recommended article: Artificial Intelligence: Methodology, Systems, and Applications
description: scientific article; zbMATH DE number 5576672