You're reading from Java Deep Learning Cookbook

Product typeBook

Published inNov 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781788995207

Edition1st Edition

Languages

Java

Tools

Deeplearning4j TensorFlow

Concepts

Deep Learning

Author (1)

Rahul Raj

Technical requirements

The source code for this chapter can be found here:
https://github.com/PacktPublishing/Java-Deep-Learning-Cookbook/blob/master/09_Using_RL4J_for_Reinforcement%20learning/sourceCode/cookbookapp/src/main/java/MalmoExample.java.

After cloning our GitHub repository, navigate to the Java-Deep-Learning-Cookbook/09_Using_RL4J_for_Reinforcement learning/sourceCode directory. Then, import the cookbookapp project as a Maven project by importing pom.xml.

You need to set up a Malmo client to run the source code. First, download the latest Project Malmo release as per your OS (https://github.com/Microsoft/malmo/releases):

For Linux OS, follow the installation instructions here: https://github.com/microsoft/malmo/blob/master/doc/install_linux.md.
For Windows OS, follow the installation instructions here: https://github.com/microsoft/malmo/blob/master/doc/install_windows...

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Java Deep Learning Cookbook

Published in: Nov 2019Publisher: PacktISBN-13: 9781788995207

Author (1)

Rahul Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.
Read more about Rahul Raj

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