Integrating Reinforcement Learning Methods with Neural Networks and Fuzzy Logic in Real-Time Intelligent Systems
Alexander P. Eremeev, Maksim D. Sergeev, V.S. Petrov · 2024
The article is devoted to the training of specialists in the field of information technology and artificial intelligence tasks. Since the 2021/2022 academic year, NRU MPEI has been implementing master’s degree studies in the Artificial Intelligence program, within which students acquire theoretical and practical skills in solving artificial intelligence problems, including using reinforcement learning methods in intelligent real-time decision support systems. As part of the research approach, the article offers a comparative analysis of the use of fuzzy logic in reinforcement learning methods compared to other artificial intelligence methods, including neural networks. This analysis reveals the advantages and limitations of each method, which is important for students of artificial intelligence who seek to comprehensively understand various approaches and apply them in various fields.