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Course Outline

Introduction

Overview of OpenAI Gym Features and Architecture

Learning the Basics of OpenAI Gym

Exploring the OpenAI Gym Library

Installing OpenAI Gym and Its Dependencies

Building Gym Directly 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

Using OpenAI Gym’s Registry Function

Testing 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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Price per participant

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