Reinforcement Learning in 3 Hours Full Course using Python
Learners:
295,350
Instructor: Nicholas Renotte
Duration:
This course is perfect for anyone wanting to get started with Reinforcement Learning. In just 3 hours, you'll learn the fundamentals of RL with Python, OpenAI Gym and Stable Baselines. You'll be able to build deep learning powered agents to solve a variety of RL problems, and even create your own environment. With this course, you'll learn how to setup Stable Baselines, understand OpenAI Gym environments, train a Reinforcement Learning model, evaluate and test agents, and even build custom OpenAI Gym environments. Get started with Reinforcement Learning today!▼
Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
No Information
Language:
English
Start Date:
2021-06-06 00:00:00
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 21st, 2023]
This course provides an introduction to Reinforcement Learning (RL) using Python, OpenAI Gym and Stable Baselines. It covers all the fundamentals required to get started with RL, including how to build deep learning powered agents to solve a variety of RL problems. Participants will learn how to build custom environments using OpenAI Gym, and how to work on custom projects for RL. The course also covers topics such as loading OpenAI Gym environments, training RL models, saving and reloading environments, evaluating and testing RL models, performance tuning, adding training callbacks, changing policies and algorithms, and building custom OpenAI Gym environments. By the end of the course, participants will have the skills and knowledge to create their own RL projects.
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