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Course Outline

Introduction

Overview of OpenAI Gym Features and Architecture

Exploring the Fundamentals of OpenAI Gym

Navigating the OpenAI Gym Library

Installation of OpenAI Gym and Dependencies

Constructing Gym Directly from Source

Engaging with OpenAI Gym Environments

Designing 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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