Bulgyn Dyussenkulova

Monte Carlo-driven reinforcement learning for smart manufacturing systems

Developing a smart control system capable of accounting for the dynamics of industrial equipment state changes and promptly detecting features of developing failures is currently a pressing issue. The goal of this study is to develop an intelligent technology for industrial equip...