Implementation of the Real-Time Intelligent System Based on the Integration Approach

Author:

Eremeev A. P.,Kozhukhov A. A.,Gerasimova A. E.

Publisher

Springer International Publishing

Reference20 articles.

1. Sutton, R.S., Barto, A.G.: Reinforcement Learning. The MIT Press, London (2012)

2. Vagin, V.N., Eremeev, A.P.: Some basic principles of design of intelligent systems for supporting real-time decision making. J. Comput. Syst. Sci. Int. 6, 953–961 (2001)

3. Bashlykov, A.A., Eremeev, A.P.: Fundamentals of Design of Intelligent Decision Support Systems in Nuclear Power Engineering: Textbook. INFRA-M, Moscow (2018). (in Russian)

4. Mnih, V., Badia, A.P., Mirza, M., Graves, A., Harley, T., et al.: Asynchronous methods for deep reinforcement learning. In: Proceedings of the 33rd International Conference on Machine Learning (PMLR 48), pp. 1928–1937 (2016)

5. Nikolenko, S., Kadurin, A., Archangelskaya, E.: Deep learning. In: Immersion in the World of Neural Networks. PITER, St. Petersburg (2017). (in Russian)

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