Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
TensorFlow Reinforcement Learning Quick Start Guide

You're reading from   TensorFlow Reinforcement Learning Quick Start Guide Get up and running with training and deploying intelligent, self-learning agents using Python

Arrow left icon
Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789533583
Length 184 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Kaushik Balakrishnan Kaushik Balakrishnan
Author Profile Icon Kaushik Balakrishnan
Kaushik Balakrishnan
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Up and Running with Reinforcement Learning FREE CHAPTER 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 9. Assessment 10. Other Books You May Enjoy

Deep Q-Network

Deep Q-Networks (DQNs) revolutionized the field of reinforcement learning (RL). I am sure you have heard of Google DeepMind, which used to be a British company called DeepMind Technologies until Google acquired it in 2014. DeepMind published a paper in 2013 titled Playing Atari with Deep RL, where they used Deep Neural Networks (DNNs) in the context of RL, or DQNs as they are referred to – which is an idea that is seminal to the field. This paper revolutionized the field of deep RL, and the rest is history! Later, in 2015, they published a second paper, titled Human Level Control Through Deep RL, in Nature, where they had more interesting ideas that further improved the former paper. Together, the two papers led to a Cambrian explosion in the field of deep RL, with several new algorithms that have improved the training of agents using neural networks, and...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image