GOTO 2020 • Industrial Applications of Reinforcement Learning • Phil Winder

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This presentation was recorded at GOTOpia Europe 2020. #GOTOcon #GOTOpia
http://gotopia.eu

Phil Winder - Phil masters the hard art of backing theory by real-life experience. There is always more to learn about data and reinforcement learning

ABSTRACT
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 [...]

TIMECODES
00:00 Intro
02:36 Reinforcement learning
08:06 How can RL help?
11:50 What do I need?
17:23 Manufacturing (i.e. Robotics)
28:32 Tech
32:24 Transport
33:44 Outro

Download slides and read the full abstract here:
https://gotopia.eu/2020/sessions/1457/industrial-applications-of-reinforcement-learning

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Video Credit
Yiğit Erbaş: https://youtu.be/6gDxvk6n-qM
B. F. Skinner Foundation Video Archive: https://youtu.be/qTXGAd1kpXY
Fernando Silva: https://youtu.be/Q5nSYtO2GSI
Jason Peng: https://youtu.be/lKYh6uuCwRY
Adam Gleave: https://youtu.be/XPFQ9TBvtCE
Covariant: https://youtu.be/ApiQwHlxdmA
Science Magazine: https://youtu.be/6gLHDCLT2Gc



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