About the Integration of Learning and Decision-Making Models in Intelligent Systems of Real-Time

Author:

Eremeev Alexander P.,Kozhukhov Alexander A.

Publisher

Springer International Publishing

Reference18 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. Osipov, G.S.: Methods of Artificial Intelligence, 2nd edn. FIZMATLIT, Moscow (2015). (in Russian)

4. Busoniu, L., Babuska, R., De Schutter, B.: Multi-agent reinforcement learning: an overview. In: Innovations in Multi-Agent Systems and Applications, vol. 310, pp. 183–221. Springer, Heidelberg (2010)

5. 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)

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