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Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Asynchronous Methods

So far, we have covered most of the important topics, such as the Markov Decision Processes, Value Iteration, Q-learning, Policy Gradients, deep-Q networks, and Actor Critic Algorithms. These form the core of the reinforcement learning algorithms. In this chapter, we will continue our search from where we left off in Actor Critic Algorithms, and delve into the advanced asynchronous methods used in deep reinforcement learning, and its most famous variant, the asynchronous advantage actor-critic algorithm, better known as the A3C Algorithm.

But, before we start with the A3C algorithm, let's revise the basics of the Actor Critic Algorithm covered in Chapter 4, Policy Gradients. If you remember, the Actor Critic Algorithm ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content