Q Learning | Building a Crawling Robot with Reinforcement Learning

Описание: Q learning is one the most popular and simple Model Free reinforcement learning techniques. This video is part of our FREE online course on Machine Learning located here: http://www.codeheroku.com/course_cont...

In this class we will study difference between model based and model free learning methods, understand how Q learning works and build a robot that will learn to crawl in a simulated environment.

All completed Python scripts and associated datasets are on the class Github repo:
https://github.com/codeheroku/Introdu...

Medium Post:   / introduction-to-reinforcement-learning  

Reinforcement Learning is an area of machine learning where an agent learns by interacting with the environment surrounded. Reinforcement learning is an important type of Machine Learning where an agent learn how to behave in an environment by performing actions and seeing the results.

In recent years, we’ve seen a lot of improvements in this fascinating area of research. Examples include DeepMind and the Deep Q learning architecture in 2014, beating the champion of the game of Go with AlphaGo in 2016, OpenAI and the PPO in 2017, amongst others.