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TensorFlow Reinforcement Learning Quick Start Guide Cover

TensorFlow Reinforcement Learning Quick Start Guide

Get up and running with training and deploying intelligent, self-learning agents using Python

Paid access
|Apr 2019

Authors

Balakrishnan Kaushik :

Kaushik Balakrishnan works for BMW in Silicon Valley, and applies reinforcement learning, machine learning, and computer vision to solve problems in autonomous driving. Previously, he also worked at Ford Motor Company and NASA Jet Propulsion Laboratory. His primary expertise is in machine learning, computer vision, and high-performance computing, and he has worked on several projects involving both research and industrial applications. He has also worked on numerical simulations of rocket landings on planetary surfaces, and for this he developed several high-fidelity models that run efficiently on supercomputers. He holds a PhD in aerospace engineering from the Georgia Institute of Technology in Atlanta, Georgia.

PDF ISBN: 978-1-78953-344-6
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 184

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