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Course Outline

Introduction

Overview of OpenAI Gym Features and Architecture

Introduction to OpenAI Gym Basics

Exploring the OpenAI Gym Library

Installing OpenAI Gym and Its Dependencies

Building Gym Directly from Source

Working with OpenAI Gym Environments

Creating Custom Environments

Executing Environment Functions and Tasks

Managing 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

Audience

  • Researchers
  • Developers
 7 Hours

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