Deep Q Learning w/ DQN - Reinforcement Learning p.5

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Hello and welcome to the first video about Deep Q-Learning and Deep Q Networks, or DQNs. Deep Q Networks are the deep learning/neural network versions of Q-Learning.

With DQNs, instead of a Q Table to look up values, you have a model that you inference (make predictions from), and rather than updating the Q table, you fit (train) your model.

#reinforcementlearning #machinelearning #python

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I started watching your videos in finance about 2 years ago.
Now I am so fluent in python and I do have a decent Hedge fund where I use algo trading and I'm doing super good. All cause you introduce me to programming.
Thanks my friend.

andreamassacci

Dude, this is amazing. As a systems developer, I am using this for my master thesis on streaming algorithms and congestion control. You literally saved me a ton of hours since I don't have much background in RL. Thanks for the amazing work.

alexandrudan

Really looking forward to the following videos in this series. You're totally right, there is a serious lack of RL tutorials. Thank you for producing this series <3

jahcane

Hi! Just wanted to say that I really like your video series on reinforcement learning! Your voice is nice to listen to and you explain everything in a nice way and at a speed that works really well for me! :) thanks!

camilledevalk

Finally a good reinforcement learning series! I would love to see this implemented into trading for the next video.

samfulton

This is by far the best tutorial on DQNs on the entire internet.

jorostuff

So, Professor Sentdex mentions in this video that (paraphrasing) none of the other deep Q learning videos/tutorials do not really show some important steps ("...all the tutorials suck..."). Well, perhaps they don't suck, but they do gloss over or hide certain steps. This tutorial here (p.5 and p.6) truly does explain and show each step. It delivers. I've takin 2 courses on Udemy and trolled several other AI channels. This is the best DQN tutorial out there. It's a little long and each step is highly detailed. My advice is follow along....code as you watch. Thanks for this tutorial! (Would love to see a Paperspace tutorial!)

ramonolivier

Never change man... This is therapy for people like us, so wholesome and informative

YashSingh-rfnk

Watch out deepmind! We're catching up!

RutgerMusicOnline

I have started python upto yours last keras TF tutorial. And I understood everything. Best person.

aakarshan

Part Phaaaiive of the series. Love how u say that

aakarshan

Best tutorial for RL seen so far! Love yah!

jingruihu

I rarely comment on youtube videos, but I gotta say that I love your energy and the way you explain things in a fun and clear way!
You got yourself a new subscriber, Keep up the good work! :)

arnaudrochez

Sentdex you and your YouTube Channel is awesome! Great content and videos

priyankadas

Best channel, Thank you for this tutorial

mbouchra

"All the tutorials suck". Finally someone who said the truth.

dahampter

Wait should we really use max pooling here? I think network also has to know where in the frame an object is and that information is lost with pooling. Correct me if I'm wrong

risingredstone

Hi @sentdex,
Thanks for this awesome content. Just wanted to ask one thing, is this by any chance Double Deep Q learning that you are implementing?

rohanchaudhury

This is actually one good tutorial I could find. Thank you sentdex!

glomerulust

don't bother for ppl complaining about drinking... thanks to your efforts. You are totally cool...

sumanpandey

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