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EBOOK
Author Kansal, Satwik,
Title Hands-on reinforcement learning with TensorFlow / Satwik Kansal.
Imprint [Place of publication not identified] : Packt, [2018]

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Subject Reinforcement learning.
Neural networks (Computer science)
Artificial intelligence.
Description 1 online resource (1 streaming video file (3 hr., 42 min., 6 sec.)) : digital, sound, color
Performer Presenter, Satwik Kansal.
Note Title from title screen (viewed October 1, 2018).
Date of publication from resource description page.
Summary "You've probably heard of Deepmind’s AI playing games and getting really good at playing them (like AlphaGo beating the Go world champion). Such agents are built with the help of a paradigm of machine learning called zReinforcement Learningy (RL). In this course, you’ll walk through different approaches to RL. You’ll move from a simple Q-learning to a more complex, deep RL architecture and implement your algorithms using Tensorflow’s Python API. You’ll be training your agents on two different games in a number of complex scenarios to make them more intelligent and perceptive. By the end of this course, you’ll be able to implement RL-based solutions in your projects from scratch using Tensorflow and Python."--Resource description page.
OCLC # 1055555785