Industrial Applications of Reinforcement Learning
This video is also available in the GOTO Play video app! Download it to enjoy offline access to our conference videos while on the move.
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 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
Software Is DetailsKevlin HenneyWednesday Sep 16, 10:00
Where We’re Going, We Don’t Need Servers!Sam NewmanThursday Sep 17, 10:00
War is Peace, Freedom is Slavery, Ignorance is Strength, Scrum is AgileAllen HolubThursday Sep 17, 16:00
The Pragmatic Programmer Twenty Years LaterDave ThomasFriday Sep 18, 14:50
An Average Working Day on Visionary NASA ProjectsKenneth Harris IIWednesday Sep 16, 17:10