Asynchronous Decentralized Q-Learning in Stochastic Games
Author:
Affiliation:
1. University of Toronto,Department of Electrical and Computer Engineering
2. University of Hawaii at Manoa,Department of Electrical Engineering
3. Queen's University,Department of Mathematics and Statistics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383194.pdf?arnumber=10383194
Reference24 articles.
1. A survey and critique of multiagent deep reinforcement learning
2. A generalized reinforcement-learning model: Convergence and applications;Littman;ICML,1996
3. Friend-or-foe Q-learning in general-sum games;Littman;ICML,2001
4. Nash Q-learning for general-sum stochastic games;Hu;Journal of Machine Learning Research,2003
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