Abstract

Deep Reinforcement Learning Leading Industry 4.0

Deep Reinforcement Learning (DRL) is an emerging technology that is now allowing optimization of business processes that were not possible before, increasing efficiency and process output in the process. DRL opens a door into automation and optimization of systems that were considered chaotic...


Session No: SIL8119
Speaker: Michael Zolotov
Type:

Deep Learning and AI

Date: Thursday - October 18, 2018 04:00 PM - 04:50 PM
Location: Hall K/L
Topic: Accelerated Data Science
Industry: Aerospace

Deep Reinforcement Learning (DRL) is an emerging technology that is now allowing optimization of business processes that were not possible before, increasing efficiency and process output in the process. DRL opens a door into automation and optimization of systems that were considered chaotic, and that did not show the potential for clear ROI using classic Machine Learning and Deep Learning methods. In many unsolved or un-adequately solved challenges, DRL can be the missing link between the business question and the insights generated by the "technology." In this session, we will explore a few real-world use-cases of DRL applied to industrial applications and together we will further understand the potential of DRL to impact our business use-cases positively. DRL can be successfully applied to many use cases: natural resources / mining, finance, insurance, manufacturing and chemicals, and many more.