Competitive routing in multiuser communication networks
IEEE/ACM Transactions on Networking (TON)
The Nonstochastic Multiarmed Bandit Problem
SIAM Journal on Computing
Graphical Models for Game Theory
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Individual Equilibrium and Learning in Processor Sharing Systems
Operations Research
The empirical Bayes envelope and regret minimization in competitive Markov decision processes
Mathematics of Operations Research
Nash q-learning for general-sum stochastic games
The Journal of Machine Learning Research
Selfish Routing and the Price of Anarchy
Selfish Routing and the Price of Anarchy
A survey on networking games in telecommunications
Computers and Operations Research
Prediction, Learning, and Games
Prediction, Learning, and Games
If multi-agent learning is the answer, what is the question?
Artificial Intelligence
Regret based dynamics: convergence in weakly acyclic games
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Local Two-Stage Myopic Dynamics for Network Formation Games
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Concept of a Multi-Agent System for Assisting in Real Estate Appraisals
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
A Reinforcement Learning Adaptive Fuzzy Controller for Differential Games
Journal of Intelligent and Robotic Systems
Distributed multiagent learning with a broadcast adaptive subgradient method
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
A multi-agent system to assist with property valuation using heterogeneous ensembles of fuzzy models
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
A methodology for automatic diagnosability analysis
ICFEM'10 Proceedings of the 12th international conference on Formal engineering methods and software engineering
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Agent learning in autonomic manufacturing execution systems for enterprise networking
Computers and Industrial Engineering
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As suggested by the title of Shoham, Powers, and Grenager's position paper [Y. Shoham, R. Powers, T. Grenager, If multi-agent learning is the answer, what is the question? Artificial Intelligence 171 (7) (2007) 365-377, this issue], the ultimate lens through which the multi-agent learning framework should be assessed is ''what is the question?''. In this paper, we address this question by presenting challenges motivated by engineering applications and discussing the potential appeal of multi-agent learning to meet these challenges. Moreover, we highlight various differences in the underlying assumptions and issues of concern that generally distinguish engineering applications from models that are typically considered in the economic game theory literature.