Course Outline


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


Summary and Conclusion


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


  • Researchers
  • Developers
  7 Hours

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