Learning to coordinate without sharing information
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Asynchronous Stochastic Approximation and Q-Learning
Machine Learning
Multi-agent reinforcement learning: independent vs. cooperative agents
Readings in agents
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
Cooperative Mobile Robotics: Antecedents and Directions
Autonomous Robots
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Friend-or-Foe Q-learning in General-Sum Games
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
An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Evaluating Concurrent Reinforcement Learners
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Nash q-learning for general-sum stochastic games
The Journal of Machine Learning Research
Adaptive load balancing: a study in multi-agent learning
Journal of Artificial Intelligence Research
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
The Journal of Machine Learning Research
Individual and Social Behaviour in the IPA Market with RL
SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
A Team CGA Learning Method TCCLA
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
Learning the IPA market with individual and social rewards
Web Intelligence and Agent Systems
Dynamic analysis of multiagent Q-learning with ε-greedy exploration
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
The world of independent learners is not markovian
International Journal of Knowledge-based and Intelligent Engineering Systems
Reinforcement social learning of coordination in cooperative multiagent systems
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
The dynamics of reinforcement social learning in cooperative multiagent systems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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We present a conceptual framework for creating Q-learning-based algorithms that converge to optimal equilibria in cooperative multiagent settings. This framework includes a set of conditions that are sufficient to guarantee optimal system performance. We demonstrate the efficacy of the framework by using it to analyze several well-known multi-agent learning algorithms and conclude by employing it as a design tool to construct a simple, novel multi-agent learning algorithm.