Q Learning With Just Numpy | Solving the Mountain Car | Tutorial

In this tutorial you will go from no knowledge about reinforcement learning, to coding your own Q Learning agent to beat the Mountain Car Environment from the Open AI Gym.

All we will need is Numpy and a little help from our friends Sutton and Barto.

Code for this video is here:
github.com/philtabor/Youtube-Code-Repository/bl…

Learn how to turn deep reinforcement learning papers into code:

Get instant access to all my courses, including the new Prioritized Experience Replay course, with my subscription service. $29 a month gives you instant access to 42 hours of instructional content plus access to future updates, added monthly.


Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to [email protected]

neuralnet.ai/courses

Or, pickup my Udemy courses here:

Deep Q Learning:
udemy.com/course/deep-q-learning-from-paper-to-…

Actor Critic Methods:
udemy.com/course/actor-critic-methods-from-pape…

Curiosity Driven Deep Reinforcement Learning
udemy.com/course/curiosity-driven-deep-reinforc…

Natural Language Processing from First Principles:
udemy.com/course/natural-language-processing-fr…
Reinforcement Learning Fundamentals
manning.com/livevideo/reinforcement-learning-in…

Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: bit.ly/3fXHy8W
Grokking Deep Learning: bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: bit.ly/2VNAXql

Come hang out on Discord here:
discord.gg/Zr4VCdv

Need personalized tutoring? Help on a programming project? Shoot me an email! [email protected]

Website: neuralnet.ai
Github: github.com/philtabor
Twitter: twitter.com/MLWithPhil

#QLearning #ReinforcementLearning #OpenAIGym