Integrating Reinforcement Learning Methods with Neural Networks and Fuzzy Logic in Real-Time Intelligent Systems-Reference-Cited by-同舟云学术

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Integrating Reinforcement Learning Methods with Neural Networks and Fuzzy Logic in Real-Time Intelligent Systems

Published:2024-04-16 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 7th International Conference on Information Technologies in Engineering Education (Inforino)
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Author:

Eremeev A.P.¹,Sergeev M.D.¹,Petrov V.S.¹

Affiliation:

1. National Research University “MPEI”,Dept. of Applied Mathematics and Artificial Intelligence,Moscow,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10551880/10551884/10551979.pdf?arnumber=10551979

Reference7 articles.

1. INTEGRATION OF LEARNING METHODS WITH REINFORCEMENT AND ARTIFICIAL NEURAL NETWORKS;Eremeev

2. Reinforcement learning: trans;Sutton;English – M.: BINOM. Laboratory of Knowledge,2011

3. Methods of artificial intelligence;Osipov;M.: Fizmatlit,2015

4. Implementation of reinforcement learning methods based on temporal differences and a multi-agent approach for intelligent real-time systems;Eremeev;Software products and systems,2017

5. Fuzzy Q-learning

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