Matrix Stochastic Game with Q-learning for Multi-agent Systems

Author:

Kravets PetroORCID,Lytvyn VasylORCID,Dobrotvor IhorORCID,Sachenko OlegORCID,Vysotska VictoriaORCID,Sachenko AnatoliyORCID

Publisher

Springer International Publishing

Reference19 articles.

1. Neyman, A., Sorin, S.: Stochastic Games and Applications. (vol. 570). Springer Science & Business Media, Berlin (2003). https://www.springer.com/gp/book/9781402014925

2. Fudenberg, D., Drew, F., Levine, D.K., Levine, D.K.: The Theory of Learning in Games. vol. 2. MIT press, Cambridge (1998). ISBN 9780262061940

3. Weiss, G.: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT press, Cambridge (1999). ISBN 9780262232036

4. Wooldridge, M.: An Introduction to Multiagent Systems. John Wiley & Sons, Hoboken (2009). ISBN 978-0-470-51946-2

5. Hashemi, A.B., Meybodi, M.R.: A note on the learning automata based algorithms for adaptive parameter selection in PSO. Appl. Soft Comput. 11(1), 689–705 (2011). https://doi.org/10.1016/j.asoc.2009.12.030

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1. Adaptive Decision-Making Strategies in the Game with Environment;Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making;2022-09-14

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