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Course Outline
Introduction
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
Troubleshooting
Summary and Conclusion
Requirements
- Knowledge of Python or other programming languages
- Understanding of artificial intelligence (AI) and machine learning (ML) concepts
Audience
- Researchers
- Developers
7 Hours
Testimonials (1)
Real life examples.