TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)

TF-Agents is a clean, modular, and well-tested open-source library for Deep Reinforcement Learning with TensorFlow. This session will cover recent advancements in Deep RL, and show how TF-Agents can help to jump start your project. You will also see how TF-Agent library components can be mixed, matched, and extended to implement new RL algorithms.

Watch more #io19 here: Machine Learning at Google I/O 2019 Playlist → https://goo.gle/2URpjol
TensorFlow at Google I/O 2019 Playlist → http://bit.ly/2GW7ZJM
Google I/O 2019 All Sessions Playlist → https://goo.gle/io19allsessions
Learn more on the I/O Website → https://google.com/io

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Get started at → https://www.tensorflow.org/

Speaker(s): Sergio Guadarrama and Eugene Brevdo

TFA7A8 event: Google I/O 2019; re_ty: Publish; product: TensorFlow - General; fullname: Sergio Guadarrama, Eugene Brevdo;

Видео TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19) канала TensorFlow