Reinforcement Learning - Ep. 30 (Deep Learning SIMPLIFIED)

Reinforcement Learning has started to receive a lot of attention in the fields of Machine Learning and Data science. In January of 2016, a team of researchers from Google built an AI that beat the reigning world champion of the board game Go. This AI, AlphaGo, utilizes reinforcement learning in order to discover new strategies. Despite the potential of reinforcement learning, there are very few learning resources currently available. This video will help to demystify the field so that its capabilities can be better understood.

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Relevant URLs
Richard Sutton book: https://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html
Tambet Matiisen post: https://www.nervanasys.com/demystifying-deep-reinforcement-learning/
Andrej Karpathy post: http://karpathy.github.io/2016/05/31/rl/

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelancers/~0147b8991909b20fca
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

Видео Reinforcement Learning - Ep. 30 (Deep Learning SIMPLIFIED) канала DeepLearning.TV