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NTIS 바로가기Journal of information processing systems, v.16 no.5, 2020년, pp.1223 - 1230
Woo, Sangchul (Dept. of Multimedia Engineering, Dongguk University) , Sung, Yunsick (Dept. of Multimedia Engineering, Dongguk University)
Recently, extensive studies have been conducted to apply deep learning to reinforcement learning to solve the state-space problem. If the state-space problem was solved, reinforcement learning would become applicable in various fields. For example, users can utilize dance-tutorial systems to learn h...
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A. Raghu, M. Komorowski, L. A. Celi, P. Szolovits, and M. Ghassemi, "Continuous state-space models for optimal sepsis treatment-a deep reinforcement learning approach," in Proceedings of the Machine Learning for Health Care Conference (MLHC), Boston, MA, 2017, pp. 147-163.
R. Garg and D. P. Nayak, "Game of tic-tac-toe: Simulation using Min-Max algorithm," International Journal of Advanced Research in Computer Science, vol. 8, no. 7, pp. 1074-1077, 2017.
C. Jin, Z. Allen-Zhu, S. Bubeck, and M. I. Jordan, "Is Q-learning provably efficient?," Advances in Neural Information Processing Systems, vol. 31, pp. 4863-4873, 2018.
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