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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 (4)
I really appreciated Vincent's enthusiasm, professionalism and knowledge. I was able to do well-guided and illustrated practical exercises, directly applying the AI tool in the context of my professional activity as a communications manager for unions. This was made possible by the interview prior to the 2-day training to determine the training program.
Claude - Internationale de l'Éducation
Course - ChatGPT for Content Creation
Machine Translated
His way of gaining audience
Venkata Narasimha Murthy - 6Point6
Course - ChatGPT for Automation
Specific knowledge provided in an accessible way. Answering questions and dispelling doubts
Szymon - Web INnovative Software Sp. z o.o.
Course - ChatGPT (GPT-4) for Developers
Machine Translated
Real life examples.
