Industrial Applications of Reinforcement Learning

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*](https://rl-book.com), 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 and what **pitfalls to watch out for**. **You will learn that RL is more than a bot in a game; it is the next frontier in applied artificial intelligence.** Phil will avoid using jargon to make this talk acceptable for a wider audience, but does expect that you have limited exposure to data science or machine learning in general. **In this talk, you'll learn:** * When you can apply reinforcement learning * What pitfalls to watch out for when using reinforcement learning * True-to-life cases form different industries