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Engineering system design, viewed as a decision-making process, faces challenges due to complexity and uncertainty. In this paper, we present a framework proposing the use of the Deep Q-learning algorithm to optimize the design of engineering systems
Externí odkaz:
http://arxiv.org/abs/2312.17284
Autor:
Rajabalizadeh, Atefeh, Safaei, Nima, Nia, Javad Norouzi, Talafidaryani, Mojtaba, Bijari, Reyhaneh, Zarindast, Atousa, Fotouhi, Fateme, Salehi, Masoud, Moqri, Mahdi
Publikováno v:
Proceedings of the International Conference on Information Systems (ICIS); 2020, p1-9, 9p