| Description |
1 online resource (1 video file, approximately 54 min.) |
| Summary |
This course provides an introduction to the field of reinforcement learning and the use of OpenAI Gym software. It details the terminology and core concepts of reinforcement learning, illustrates how OpenAI Gym software incorporates those core concepts, and shows you how to code solutions for reinforcement learning problems present in simple mazes and complex Atari games. Requirements include basic Python programming experience, basic math knowledge, familiarity with the Linux and Bash terminal, and an understanding of how to use Jupyter notebooks. Master the basic terminology, concepts, and uses of reinforcement learning Understand how to install and manage reinforcement learning software Learn about OpenAI Gym's API and how to use it to test reinforcement learning algorithms Discover how to determine if a problem is best solved with reinforcement learning Explore the code used to solve reinforcement learning problems in computer games Justin Francis runs Allisee Solutions, a machine learning training company based on Canada's West Coast. Justin is a frequent contributor to O'Reilly Media as the author of numerous articles on the topics of TensorFlow, reinforcement learning, and OpenAI Gym. A self-taught programmer, Justin holds certifications in machine learning, data science ethics, and Java programming |
| Notes |
Mode of access: World Wide Web |
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Copyright © Infinite Skills |
| Issuing Body |
Made available through: Safari, an O'Reilly Media Company |
| Notes |
Online resource; Title from title screen (viewed August 10, 2017) |
| Subject |
Internet videos.
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Streaming video.
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streaming video.
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| Form |
Streaming video
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| Author |
Safari, an O'Reilly Media Company
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| ISBN |
9781491995006 |
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1491995009 |
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