“Evolutionary” selection dynamics in games: convergence and limit properties
International Journal of Game Theory
Technical Note: \cal Q-Learning
Machine Learning
Learning to coordinate without sharing information
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Representations and solutions for game-theoretic problems
Artificial Intelligence - Special issue on economic principles of multi-agent systems
The dynamics of reinforcement learning in cooperative multiagent systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Friend-or-Foe Q-learning in General-Sum Games
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
On No-Regret Learning, Fictitious Play, and Nash Equilibrium
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Near-Optimal Reinforcement Learning in Polynominal Time
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Dynamic Programming
The empirical Bayes envelope and regret minimization in competitive Markov decision processes
Mathematics of Operations Research
R-max - a general polynomial time algorithm for near-optimal reinforcement learning
The Journal of Machine Learning Research
Nash q-learning for general-sum stochastic games
The Journal of Machine Learning Research
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-Agent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Efficient learning equilibrium
Artificial Intelligence
Walverine: a Walrasian trading agent
Decision Support Systems - Special issue: Decision theory and game theory in agent design
Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Learning against multiple opponents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Efficient no-regret multiagent learning
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Approximating game-theoretic optimal strategies for full-scale poker
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Rational and convergent learning in stochastic games
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Learning against opponents with bounded memory
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning payoff functions in infinite games
Machine Learning
Agendas for multi-agent learning
Artificial Intelligence
What evolutionary game theory tells us about multiagent learning
Artificial Intelligence
Multi-agent learning for engineers
Artificial Intelligence
Multi-agent learning and the descriptive value of simple models
Artificial Intelligence
The possible and the impossible in multi-agent learning
Artificial Intelligence
Fairness in multi-agent systems
The Knowledge Engineering Review
Artificial agents learning human fairness
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Switching dynamics of multi-agent learning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Fairness in multi-agent systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: doctoral mentoring program
Social reward shaping in the prisoner's dilemma
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Rational Bidding Using Reinforcement Learning
GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
Multi-Agent Reinforcement Learning for Intrusion Detection: A Case Study and Evaluation
MATES '08 Proceedings of the 6th German conference on Multiagent System Technologies
Q-Strategy: A Bidding Strategy for Market-Based Allocation of Grid Services
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Opportunities for multiagent systems and multiagent reinforcement learning in traffic control
Autonomous Agents and Multi-Agent Systems
An evolutionary model of multi-agent learning with a varying exploration rate
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
On similarities between inference in game theory and machine learning
Journal of Artificial Intelligence Research
Multi-agent based modeling of liver detoxification
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Effective learning in the presence of adaptive counterparts
Journal of Algorithms
A new perspective on multi-user power control games in interference channels
IEEE Transactions on Wireless Communications
From competition to coopetition: stackelberg equilibrium in multi-user power control games
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Learning in groups of traffic signals
Engineering Applications of Artificial Intelligence
Adaptation in games with many co-evolving agents
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Approximation guarantees for fictitious play
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Frequency adjusted multi-agent Q-learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Using graph analysis to study networks of adaptive agent
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
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
Game theory for cyber security
Proceedings of the Sixth Annual Workshop on Cyber Security and Information Intelligence Research
EA2: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Evolutionary dynamics of regret minimization
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Priority awareness: towards a computational model of human fairness for multi-agent systems
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Human-inspired computational fairness
Autonomous Agents and Multi-Agent Systems
Impersonation strategies in auctions
WINE'10 Proceedings of the 6th international conference on Internet and network economics
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Theoretical considerations of potential-based reward shaping for multi-agent systems
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
The social Ultimatum Game and adaptive agents
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Market self-organization under limited information
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Replicator dynamics for multi-agent learning: an orthogonal approach
ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
Evolutionary advantage of foresight in markets
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Dynamic potential-based reward shaping
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Norms and learning in probabilistic logic-based agents
DEON'12 Proceedings of the 11th international conference on Deontic Logic in Computer Science
Computers & Mathematics with Applications
Strategic interactions among agents with bounded rationality
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelligence. We focus on the foundational questions in this interdisciplinary area, and identify several distinct agendas that ought to, we argue, be separated. The goal of this article is to start a discussion in the research community that will result in firmer foundations for the area.