Build a Chrome Dino Game AI Model with Python | AI Learns to Play Dino Game 

Yeah, I need to call it out more!

Thanks so much @Muhammad!!

🙌

Thanks for checking it out Simon!!

Definitely, going to need to use a different framework for that I don't think SB3 has support for multi agents yet. I took at look at the Unity SDK and apparently it can handle it. Might take a deeper dive when I'm back.

I know i am very late to reply but with the unity sdk, it is incredibly easy to setup, and it doesnt need any extra modifications to work with multiple agents. Compared to unity sdk, open ai gym is very difficult. The only downside of unity sdk is (of course) it only works with unity@@NicholasRenotte

Hahaha, someone told me you can remove the die line in the js. Now I'm like I should've just done that LOL

It’s live Omar, I use a apple trackpad to zoom! I show the setup in the battle station breakdown!

Hmmm, yeah that would be cool!!

use keyboard and pyautogui module for that

Yep go through the docs and read papers! Normally I'll try out a range of algos, for optimization I'll use Optuna!

@@NicholasRenotte Thanks a lot!

Cheers @Alex, it's a Ryzen 7 3700x, 2070 Super and 32 GB of DDR4 (I think). Stay tuned for Sunday's vid, I'm going to do a deep dive into my hardware!

@@NicholasRenotte Yeah, watched the video already! Thanks for answering. And additional thanks for the content, it is seen how much effort you put in ur videos! 🙏

Yo, im just getting started on working on this NICE

Can you please share that reward code of yours????

I have applied this changes but the FPS remains 1

Hey Arjun. I know this might be late. But I started my RL journey last week and have watched Sentdex's RL series (SB3). I haven't completed watching this video but in the Sentdex video, he was rendering the UI of Lunar Lander to show the training process visually. This drastically reduced the speed of training considering the UI had to render. If the training process was headless (without visuals), it would've sped up the training. Just extrapolating that theory to this video, I see that the game can't be run headless unless you have the internal code of the game in your custom environment. I assume Nicholas is capturing the frames and feeding it to the DQN network. There are bunch of other factors that may affect the training process as well (and the reason I stated might not be true in Nicholas' case). Hope this helps! EDIT: I saw that Nicholas is using pytesseract to predict whether the game is over and indicating that episode is "done". That seems to me like a very expensive operation since the get_done() is going to run every frame to check whether the game is over. Maybe devising another way to check that will drastically speed up the training process.

@@Froparadu thanks a lot man, your feedback helps me validate my thought process.

@@Froparadu That makes a lot of sense, thank you

It's meant to be faster but for whatever reason I couldn't get the gym environment past 2 FPS. I tried a ton of optimization but couldn't find the specific reason why, I'm going to dig into it more if I ever do more games.

@@NicholasRenotte please find it out

Usse latest model

I have but it's quite involved and would probably end up being a monster tutorial. Haven't had the time to dedicate to it yet, but maybe soon!

I think to minimize the size of the data captured, the smaller the data the faster it'll run I think

it might be that pydirectinput is only for windows

You can use pyautogui

Cheers, yeah we'll probably get into some of that stuff later this year!

If you use Mac or unix-like systems, you should use PyAutoGUI instead.

yes you are wrong here, because it does not seed that when and where it jumped in the past, it sees what the situation around it was when it jumped and got rewarded (the whole purpose of using "screen shots" here is that only") so that when AI encounters the same situation again it will jump, instead of recording the time and place when to jump. Because that would just be recording and not learning

Nope, that's normal. Keep training! It takes a while, you could also try dropping the training starts at parameter so it starts training the DQN from the get go!

@@NicholasRenotte Thank you !

IT ISSS!! Thanks for checking it out Leonard!

Nevermind, I found out how to do it.

Ohhhh, didn't realise direct input would cause issues, should be easy enough to swap out for pyautogui, thanks for the heads up @Michael!

It is, might eventually do it as part of my DL basics/from scratch series (e.g. face detector, iris tracking etc)

that would be really great, brother!!

thaks for always helping us!!!

Might be a tensorboard issue, try running through this: stackoverflow.com/questions/60146023/attributeerror-module-tensorflow-has-no-attribute-io

Hi. What do you mean by 'binary options'?

@@rlhugh i mean binary options trading. It's like forex but you have to predict the direction and the expiry time

Hey, did it work out for you? I also made some good agnets on futures and would like to share experience

hey, im getting a lot of errors since gym has now been shifted to gymnasium how to fix that, did ypu get the code running?

@@fruitpnchsmuraiGwhat error message

@@fruitpnchsmuraiGgym returns 4 gymnasium returns 5 if I remember so u need some changes in ur code

😂 damn, I didn't even think of that!

🙏🙌🙏