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Course Outline

Introduction.

Overview of OpenAI Gym Features and Architecture.

Learning About OpenAI Gym Basics.

Exploring the OpenAI Gym Library.

Installing OpenAI Gym and Dependencies.

Building Gym Directly from Source.

Working with OpenAI Gym Environments.

Creating Your Own Environments.

Executing Environment Functions and Tasks.

Working with Agents, Actions, Observations, and Rewards.

Understanding Space Types in Environments.

Using OpenAI Gym’s Registry Function.

Testing the Algorithms and Environments.

Troubleshooting.

Summary and Conclusion.

Requirements

  • Proficiency in Python or other programming languages.
  • Understanding of artificial intelligence (AI) and machine learning (ML) concepts.

Target Audience

  • Researchers.
  • Developers.
 7 Hours

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