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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

Publisher:Packt Publishing Limited
By: Kaushik Balakrishnan  
Paid access
|Apr 2019
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Table of Contents

  1. Up and Running with Reinforcement Learning
  2. Temporal Difference, SARSA, and Q-Learning
  3. Deep Q-Network
  4. Double DQN, Dueling Architectures, and Rainbow
  5. Deep Deterministic Policy Gradient
  6. Asynchronous Methods - A3C and A2C
  7. Trust Region Policy Optimization and Proximal Policy Optimization
  8. Deep RL Applied to Autonomous Driving
PDF ISBN: 978-1-78953-344-6
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 184
Related subjects:
Computer sciences,
Artificial intelligence

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