Читать книгу Cyberphysical Smart Cities Infrastructures. Optimal Operation and Intelligent Decision Making онлайн

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31 31 Chakole, J.B., Kolhe, M.S., Mahapurush, G.D. et al. (2021). A Q‐learning agent for automated trading in equity stock markets. Expert Systems with Applications 163: 113761.

32 32 Liao, Z., Peng, J., Chen, Y. et al. (2020). A fast Q‐learning based data storage optimization for low latency in data center networks. IEEE Access 8: 90630–90639.

33 33 Fan, J., Wang, Z., Xie, Y., and Yang, Z. (2020). A theoretical analysis of deep Q‐learning. Learning for Dynamics and Control, PMLR, pp. 486–489.

34 34 Boussakssou, M., Hssina, B., and Erittali, M. (2020). Towards an adaptive E‐learning system based on Q‐learning algorithm. Procedia Computer Science 170: 1198–1203.

35 35 Joo, H., Ahmed, S.H., and Lim, Y. (2020). Traffic signal control for smart cities using reinforcement learning. Computer Communications 154: 324–330.

36 36 Wang, A., Zhang, A., Chan, E.H.W. et al. (2021). A review of human mobility research based on big data and its implication for smart city development. ISPRS International Journal of Geo‐Information 10 (1): 13.

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