Deep Reinforcement Learning Tutorial for Python in 20 Minutes

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Worked with supervised learning?

Maybe you’ve dabbled with unsupervised learning.

But what about reinforcement learning?

It can be a little tricky to get all setup with RL. You need to manage environments, build your DL models and work out how to save your models down so you can reuse them. But that shouldn’t stop you!

Why?

Because they’re powering the next generation of advancements in IOT environments and even gaming and the use cases for RL are growing by the minute. That being said, getting started doesn’t need to be a pain, you can get up and running in just 20 minutes working with Keras-RL and OpenAI.

In this video you’ll learn how to:
1. Create OpenAI Gym environments like CartPole
2. Build a Deep Learning model for Reinforcement Learning using Tensorflow and Keras
3. Train a Reinforcement Learning model using Deep Q Policy based learning using Keras-RL

Want to learn more about it all:

Oh, and don't forget to connect with me!

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

Music by Lakey Inspired
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nice pace and simple work through, love it man.

prhmma
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Thanks for explaining the code, I saw this example online already but with the step by step explanation of this scenario it was much better for learning while running the code alongside the video :)

bogdanoleinikov
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I usually don't write comments on Youtube videos but wow! I've watched some of your videos and they are extremely helpful.
The number of views on this video and subscribes on your channel are so underrated thx for the great content and hope u keep making good videos like this one!

MK-olgv
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The best tutorial on how to start with reinforcement learning that I have ever seen!

andreapalladino
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Thank you Nic! Very helpful of you to make such informative videos for all! Wish you lots of success and joy!

mohammedbasheer
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I am so glad I stumbled across your channel. Best tutorial ever! THANK YOU!!!

raihankhanphotography
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Commenting for the algorithm. Started looking into deep learning recently and eventually got here, great intro and explanations. Looking forward to the other videos

jumiduss
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I do not know what to say. I think closes words what can describe my feelings now are "wow, that was amazing and very very simple that even I understood what is going on there". Going to play with code and try to solve more problems. I wish I found your channel earlier. 👍🏻

oleksiy
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Superclear! Keep doing your stuff, man!

alexeysmirnov
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I am from Brazil and your video was very useful for me !!! I hope you to continue to make more videos like that. Great video !!

BRUNO
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Thank you Nicholas.. Your video is very informative, nice pace and entertaining. I am now hooked with RL.

tomgolf
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Sweet.. love the explanation.. That was a lot to take in but what a clean explanation...
Thanks for the video.
paul.

paulburnett
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Thank you! This would be my first motivation to explore RL!

RajaSekharaReddyKaluri
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Great video. Thanks for explaining everything with the step by step. Excellent Job!

Patiencelad
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Thank you!!! You rock! Such a well made video! Short and fully informative.

siddharthmanumusic
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Thanks man! Nice pace and objectiveness.

BrunoVasco
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Really nice and simple explanation. Cheers!

omarsinno
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Awesome video! I just started my master in AI and seeing your videos helps a lot to remember a couple “key” things before the start of the semester!

I also just started a YT channel, if you’re down we could maybe see how we could create something together, might be fun!

Have a good day 👋🏼

MaximeAntoine
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Hey! Thanks for the video. I would love to see how I can solve a problem with my own environment. Or how to build a specific environment and an agent with specific actions. I am at the moment not familiar with OpenAI but I think it would be interesting to see something more custom. :)

whataday
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great job, ypu saved me a lot of time. Support from Argentina!!

gusinthecloud