Thank you, that is the best explanation of deep q learning that I have seen.

Awesome! I really like the further explanation

@Chrispresso, you're one of the best! Those who can program artificial intelligence, machine learning, and neural networks I consider to be geniuses! ;)

Three is so much good content on this video, and it's crazy to think what Deep q can do, it's a pity it didn't go as well as you other AI videos. Anyway, great content, hope you're planning to make some other video in the future :)

This is really cool, I am glad I found your channel!

Thanks for making great videos!

I demand more AI! (How about having 2 agents battle to the death?) AI Power!

Thanks for the video. I'd love to see the AI start to learn some more advanced games. It's really interesting when novel techniques emerge such as the wall jumping in Mario Bros. I suppose a similar approach could be applied to newer Pokemon games, Minecraft, or Mario 64.

Wow! I love this video!. Im a bit scared to use custom rl algorithms in ml agents python api. Would you give me some advice? or do you plan to show it in more depth? Thank you for your videos. I love your work! :)

Great video! Are you planning to go more in-depth into the Python training/testing code? Also quick question - for this specific case, did you pass all RGB layers into the convolution network or simply convert the source image to grayscale and use 1 layer? It seems with RBG it would just learn that red = bad, white = good from the color data, but if it was grayscale it would actually have to learn the shapes (circle vs cross).

Awesome videos Chris! After learning Python basics what would you recommend learning next for a beginner to work towards understanding how to setup and train a.i to play games like your videos?

Really cool

Radical

I like this

great

Could you do a really dumbed-down explanation of the DeepQ learning, for thos who do not understand the mathematical notation? I’d like to implement it myself but I just don’t get how it should work.

I'm your 1000th sub

do you write the programs from scratch or do you use a ai gym?

I just don't understand how to calculate the potential reward for every step. You said that the reward gets lower when it takes a longer time to get to the goal, but how do you implement this in rewarding one action? And how do you implement the distance/amount of steps from the goal into potential rewards for single actions?

To say it up front I have no experience with AI. If someone had a powerful enough computer could this AI be effective at making the ultimate Super smash bros ultimate AI ? Or would a Ai that learns by watching gameplay better for the Job? Or would a completly different type of AI be better suited for the application?

i like it

Did this channel die? Please come back.

Pls more

Dead Channel??? Shame, it was good

i got a crazy idea. (i know the issues about this and i know for a fact that no one is Crazy enough to do this xD cause it will ruin the FPS Community but would be hilariously Evil to see). and AI that Can play 3D FPS Shooters (Yes the Guns ones xD) im a little bit Greedy and Ambitious xD but i would love to see one that can play Online FPS Games. Like CounterStrike - Valorant - Overwatch - Apex Legends - etc but for starters, it can play a Simple Training Ground like what Valorant Has. and once it passes that Training course you can put it against Bots in Counter-Strike (CS:GO) and if it manages to win 51% or more you put against Humans in Freeplay and if gets again 51% or more Wins in Freeplay then you put it in COMP Just make sure the bot isn't using any Exploits that Humans haven't Discovered don't want the OP AI Cover to be blown xD. yes it's a joke but not really joke cause if you do it would be Hilariously funny to see people not being able to beat a Bot xD or simple enough make a AI see black and White and have Values on Those Colors that say this is Enemy and this is Ally xD Done xD

Plz do "AI learns to play Baldi's Basics"

Dislike because we never saw it learn anything :(