Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Predicting the Expected Behavior of Agents that Learn About Agents: The CLRI Framework
Autonomous Agents and Multi-Agent Systems
A selection-mutation model for q-learning in multi-agent systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Frequency adjusted multi-agent Q-learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
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We present a framework to model the dynamics of Multiagent Q-learning with ε-greedy exploration. The applicability of the framework is tested through experiments in typical games selected from the literature.