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You're reading from  Deep Reinforcement Learning Hands-On. - Second Edition

Product typeBook
Published inJan 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838826994
Edition2nd Edition
Languages
Python
Tools
KerasTensorFlow
Concepts
Deep Reinforcement Learning
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Author (1)
Maxim Lapan
Maxim Lapan
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Maxim Lapan

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.
Read more about Maxim Lapan

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The environment

At the time of writing, the TextWorld environment supports only Linux and macOS platforms and internally relies on the Inform 7 system (http://inform7.com). There are two webpages for the project: one is the Microsoft Research webpage: https://www.microsoft.com/en-us/research/project/textworld/, which contains general information about the environment, and the another is on GitHub (https://github.com/microsoft/TextWorld) and describes installation and usage. Let's start with installation.

Installation

The installation instructions suggest that you can install the package by just typing pip install textworld in your Python virtual environment, but at the time of writing, this step is broken by a changed URL for the Inform 7 engine. Hopefully, this will be fixed on the next TextWorld release, but if you experience any issues, you can set up a version that I've tested for this example by running pip install git+https://github.com/microsoft/TextWorld@f1ac489fefeb6a48684ed1f89422b84b7b4a6e4b...

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Deep Reinforcement Learning Hands-On. - Second Edition
Published in: Jan 2020Publisher: PacktISBN-13: 9781838826994
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Maxim Lapan

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.
Read more about Maxim Lapan

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