Reinforcement Learning in the OpenAI Gym (Tutorial) – Monte Carlo w/o exploring starts
If you had to bet your life savings on a game of blackjack, would you end up homeless?
In today's installment of reinforcement learning in the OpenAI Gym, we're going to use Monte Carlo control without exploring starts to teach an artificial intelligence to play the game of blackjack.
It works reasonably well, though probably not as well as Q learning or even SARSA would. Nevertheless, Monte Carlo methods are an important part of reinforcement learning and are therefore important to understand to get a full picture of artificial intelligence.
Code for this video is here:
https://github.com/philtabor/Youtube-Code-Repository/blob/master/ReinforcementLearning/Fundamentals/blackJack-no-es.py
Learn how to turn deep reinforcement learning papers into code:
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Or, pickup my Udemy courses here:
Deep Q Learning:
https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22
Actor Critic Methods:
https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22
Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22
Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP-JUNE-22
Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/reinforcement-learning-in-motion
Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql
Come hang out on Discord here:
https://discord.gg/Zr4VCdv
Need personalized tutoring? Help on a programming project? Shoot me an email! phil@neuralnet.ai
Website: https://www.neuralnet.ai
Github: https://github.com/philtabor
Twitter: https://twitter.com/MLWithPhil
#OpenAIGym #ReinforcementLearning
If you had to bet your life savings on a game of blackjack, would you end up homeless?
In today’s installment of reinforcement learning in the OpenAI Gym, we’re going to use Monte Carlo control without exploring starts to teach an artificial intelligence to play the game of blackjack.
It works reasonably well, though probably not as well as Q learning or even SARSA would. Nevertheless, Monte Carlo methods are an important part of reinforcement learning and are therefore important to understand to get a full picture of artificial intelligence.
Code for this video is here:
https://github.com/philtabor/Youtube-Code-Repository/blob/master/ReinforcementLearning/Fundamentals/blackJack-no-es.py
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. $24.99 a month gives you instant access to 35 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 sales@neuralnet.ai
Courses
Or, pickup my Udemy courses here:
Deep Q Learning:
https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22
Actor Critic Methods:
https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22
Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22
Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP-JUNE-22
Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/reinforcement-learning-in-motion
Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql
Come hang out on Discord here:
https://discord.gg/Zr4VCdv
Need personalized tutoring? Help on a programming project? Shoot me an email! phil@neuralnet.ai
Website: https://www.neuralnet.ai
Github: https://github.com/philtabor
Twitter: https://twitter.com/MLWithPhil
#OpenAIGym #ReinforcementLearning
