Industrial Applications of Reinforcement Learning
Phil Winder at GOTOpia Europe 2020
Reinforcement learning (RL), a sub-discipline of machine learning, has been gaining academic and media notoriety after hyped marketing "reveals" of agents playing various games. But these hide the fact that RL is immensely useful in many practical, industrial situations where hand-coding strategies or policies would be impractical or sub-optimal.
Following the theme of Phil's new book Reinforcement Learning, Phil will present a rebuttal to the hyperbole by analyzing five different industrial case studies from a variety of sectors.
You will learn where RL can be applied, how to spot challenges that fit inside the RL paradigm ...
Following the theme of Phil's new book Reinforcement Learning, Phil will present a rebuttal to the hyperbole by analyzing five different industrial case studies from a variety of sectors.
You will learn where RL can be applied, how to spot challenges that fit inside the RL paradigm ...