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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 advantage actor-critic

The A3C algorithm was published in June 2016 by the combined team of Google DeepMind and MILA. It is simpler and has a lighter framework that used the asynchronous gradient descent to optimize the deep neural network. It was faster and was able to show good results on the multi-core CPU instead of GPU. One of A3C's big advantages is that it can work on continuous as well as discrete action spaces. As a result, it has opened the gateway for many new challenging problems that have complex state and action spaces.

We will discuss it at a high note here, but we will dig deeper in Chapter 6, Asynchronous Methods. Let's start with the name, that is, asynchronous advantage actor-critic (A3C) algorithm and unpack ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content