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Course Outline

Introduction

Overview of OpenAI Gym Features and Architecture

Understanding OpenAI Gym Fundamentals

Exploring the OpenAI Gym Library

Installing OpenAI Gym and Its Dependencies

Building Gym from Source Code

Working with OpenAI Gym Environments

Creating Custom Environments

Executing Environment Functions and Tasks

Working with Agents, Actions, Observations, and Rewards

Understanding Space Types in Environments

Utilizing OpenAI Gym’s Registry Function

Testing Algorithms and Environments

Troubleshooting

Summary and Conclusion

Requirements

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

Target Audience

  • Researchers
  • Developers
 7 Hours

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