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The Reinforcement Learning Workshop Cover

The Reinforcement Learning Workshop

Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems

Paid access
|Jan 2020
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Table of Contents

  1. Introduction to Reinforcement Learning
  2. Markov Decision Processes and Bellman Equations
  3. Deep Learning in Practice with TensorFlow 2
  4. Getting Started with OpenAI and TensorFlow for Reinforcement Learning
  5. Dynamic Programming
  6. Monte Carlo Methods
  7. Temporal Difference Learning
  8. The Multi-Armed Bandit Problem
  9. What Is Deep Q Learning?
  10. Playing an Atari Game with Deep Recurrent Q Networks
  11. Policy-Based Methods for Reinforcement Learning
  12. Evolutionary Strategies for RL
PDF ISBN: 978-1-80020-996-1
Publisher: Packt Publishing Limited
Publication date: 2020
Language: English
Pages: 822