PluralSight – Building Industrial Autonomous Systems With Reinforcement Learning-NOLEDGE
English | Size: 268.58 MB
Category: Tutorial
Microsoft Ignite 2019 | Building Industrial Autonomous Systems with Reinforcement Learning | Scott Stanfield, Kence Anderson
The recent use of advanced AI to “solve” vintage Atari video games, classic boardgames of Go and backgammon, and modern team-based games of Dota and Starcraft has put reinforcement learning (RL) into the spotlight. At its core, RL is about learning behavior in complex, dynamic environments. Beyond the realm of gaming, Microsoft is extending RL with machine teaching, in order to make the RL accessible to subject matter experts, and to champion an approach for RL in the real-world. The autonomous systems team at Microsoft is opening a public preview for developers to start playing with and learning more about reinforcement learning and machine teaching. Learn about the autonomous systems platform with real-world case studies showing the techniques used to improve the performance of high value applications in the areas of electronics manufacturing, chemical process control, and building automation systems. Join us for a hands-on tour of the platform, with practical coding demos and examples.
