Get in Touch

Course Outline

Introduction

Overview of OpenAI Gym Features and Architecture

Understanding the Fundamentals of OpenAI Gym

Exploring the OpenAI Gym Library

Installing OpenAI Gym and Its Dependencies

Building Gym Directly from the Source Code

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 Common Issues

Summary and Conclusion

Requirements

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

Target Audience

  • Researchers
  • Developers
 7 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories