TensorFlow Reinforcement Learning Quick Start Guide: Get up and running with training and deploying intelligent, self-learning agents using Python
Author:   Kaushik Balakrishnan
Publisher:   Packt Publishing Limited
ISBN:  

9781789533583


Pages:   184
Publication Date:   30 March 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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TensorFlow Reinforcement Learning Quick Start Guide: Get up and running with training and deploying intelligent, self-learning agents using Python


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Author:   Kaushik Balakrishnan
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789533583


ISBN 10:   1789533589
Pages:   184
Publication Date:   30 March 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Up and Running with Reinforcement Learning Temporal Difference, SARSA, and Q-Learning Deep Q-Network Double DQN, Dueling Architectures, and Rainbow Deep Deterministic Policy Gradient Asynchronous Methods - A3C and A2C Trust Region Policy Optimization and Proximal Policy Optimization Deep RL Applied to Autonomous Driving

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Author Information

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.

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