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1 H. R. Lee and T. Lee, "Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response," European Journal of Operational Research, Vol.291, No.1, pp.296-308, 2021./   DOI View Article
2 L. S. Liebst, W. Bernasco, M. R. Lindegaard, and E. Hoeben, "Social distancing compliance: A video observational analysis," Proceeding of the PLoS ONE. 2021./ View Article
3 J. Choi, and D. Ryu, "Bayesian optimization framework for cross-version defect prediction," in Proceedings of the 23rd Korea Conference on Software Engineering, pp.63-72, 2021./ View Article
4 E. Valarezo Anazco, et al., "Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network," Applied Intelligence, Vol.51, No.2, pp.1041-1055, 2021. https://doi.org/10.1007/s10489-020-01870-6/   DOI View Article
5 Hankyung Business, "Virtual worlds have become real metaverse economy changes industries," 8 Mar. 2021./ View Article
6 C. Wienrich and M. Latoschik, "eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research," Working paper, Cornell University, 2021./ View Article
7 A. Chow and J. Zorthian, "NFTs and Crypto Art Revolution," Time Magazine, Vol.197, No.11/12, pp.36-43, 29 Mar. 2021./ View Article
8 The Forbes, "Making money in the Metaverse," 15 Mar. 2021./ View Article
9 N. Highway Traffic Safety Administration, "Hazard Analysis of Concept Heavy-Truck Platooning Systems," United States, Department of Transportation, National Highway Traffic Safety Administration, May 2021. Accessed: May 25, 2021. [Online] Available: www.ntis.gov/ View Article
10 S. Ko, H. Chung, J. Kim, and Y. Shin, "Concept of metaverse and future possibilities," In Journal of Korea Information Processing Society Review, Vol.1, No.28, pp.13-21, 2021./ View Article