A.I. learns to drive on a pipe 

Thanks :D

@@yoshtm i agree too. i also like how the information on screen is easy to spot and see too. ^^ being a bit nitpicky, if you have anything to improve, is just a bit of the color scheme on the cars, specifically in the comparison, just to improve the accessiblity a bit. you could try blue-orange for contrast, maybe change the wheel colors a bit, or maybe use the car model without the spoilers to highlight one with the spoilers so it's easier to spot. other than that, you did a nice job with the visuals :3

@@Wilker_uwu Thanks, noted ;)

@@yoshtm same

It would be intersting to try !

@@yoshtm i’d genuinely love to see how this would turn out

That would be interesting indeed

other idea : use TAS imputs to train the AI

Can someone translate to analoge language? What are WR runs and TAS? Thank you!

There have actually been studies that show that traffic flows can be modeled by fluid dynamics equations.

@@DigitalJedi Wow lol

Except that fluid can't change direction on its own and is purely subject to laws of physics like gravity. Water will ram into a corner, a car will turn with it.

@@JorisKeijser Well, now we know who's poopin' the party

@@kgaming7599 Now we know who has nothing of value to say.

Hey donadigo, thanks !! And congrats for everything you've brought to the game lately, I've become addicted to TAS world record videos ahah ! Yeah even a simple model requires more work than one might imagine ! What I think is very interesting with the pipe map is that it shows that in some cases, trackmania environment can be described with a very limited number of inputs, so it shows potentiel for fast learning with genetic algorithm / reinforcement learning methods. And the supervised learning part also shows that a neural network can really immitate well the decision process of a human for trackmania driving : the A.I. really plays the same way I do in the end. So maybe A.I. could be an alternative to TAS in the future, even if I think it will take a long time :)

With enough data, yes

@@akatsukilevi It will be fun to watch

i wonder how much generations it would take haha

@@t34d1um Thousands and thousands....

@@akatsukilevi and time

Thanks a lot !

Yeah, that's where I thought this was going, esp. after seeing Wirtual deal with it.

@@Extramrdo I had the exact same thought! That would be really fun to see - after all the AI does not know fatigue

This map has not only turns, but some branchings also though, hasn't it?

@@absolutehuman951 no, calm down only has a single route - but a couple hundred corners iirc. Essentially it could be optimized to a straight line without branches

@@klaernie but the network doesn't have a map so it can't choose turns

Merci beaucoup !!

@@yoshtm Ah, je me disais bien que cet accent me disais quelques chose ! Je suis d'accord avec lui, très bonne video ! ^~^

@@yoshtm Très bon accent ! Je me suis abonné

Totalement d'accord.

Baguette

I strongly suggest tackling the basics first to not get frustrated. I talk from experience. Python, then simple machine learning, then some algorithms, then specific algorithms, then learn to integrate the API with Python, then implement your ideas into the game using AI/ML.

I relate to your comment so much

@@bs_blackscout is there an api in trackmania that is open to users. I know Machine Learning, in used it to build a cnn to denoise ecg signals via supervised learning. From this video. 2 things are a challenge. How do I record driving data. To be used for training. How can the ai send inputs into the video game. Does trackmania have api calls for that? Thank you. If you do know any game that has apis exposed to the users. Do let me know. I need to experiment with ML + Reinforcement Learning using genetic algorithms. A video game with visuals like like a good way to see how the algorithms are doing.

Oh, hi :D I love this cut ahah, thanks for the comment !

O kurwa jjayjoker

I am wondering the same thing, like a threadripper is what I am thinking, why not just run multiple instances

at this point it would be better for the long term to rewrite the game's deterministic physics into another piece of software, so you could simulate multiple instances of the runs at once without actually having to launch the game multiple times (and logging in to let the drm let you play before you can set it up, which would be tedious and time-consuming). if there's any means to get the numbers right (e.g getting block IDs from the tracks' gbx files, and collision boxes geometries), you could, in theory, simulate any track made in the game multiple times at once without having to render any visuals (so lots of memory is saved which means faster simulations), but also, if any people are willing to do this, that means we get a drm-free, Free/libre as in open-source equivalent of Trackmania, which would be neat

@@Wilker_uwu I think it would be easier to just run the game multiple times, I know of a few people that have workstation pcs with 128 gb ram, 32 core thread-ripper cpu, and a 3090 GPU, so it would be possible to run many instances of the same game on the same hardware, but it would really depend on how he is doing it now, in fact if he really wanted to make it faster maybe use cheat engine to run the game at a faster rate so reverse cheating XD making the game do the physics twice the speed or more but you would still run into the issues with not having multiple instances and when you are trying to do thousands of attempts max speed is always best, so of course re making the games simulation might be faster, but it might be the exact same depending on how the API of the game works, there are many unknown factors in how it works because I have never tried to do something along those lines, though I have done some python coding, also there is the a possibility that the API may not allow for multiple games being run at the same time, but that should be able to be circumvented, but it depends on a lot of factors that I and you can only assume but it would be interesting to see what yosh's ideas are to improve the speed

Could you use the same cheat software Riolu used, and speed the game up instead of slowing it down?

​@@adamnielson42 Speeding up the game would indeed allow you to do more runs. But the problem is that you would need to also increase the frequency at which you call your neural net in order to keep the same number of adjustments by the neural net. This may not be feasible depending on the computation speed of the NN.

Bro what that’s sick I wouldn’t of noticed it without you

I was like "oh do I have Spotify running?" when the music played LOL

Merci beaucoup ;)

Merci beaucoup ca fait super plaisir ce genre de commentaire ;)

Merci beaucoup ;)

Thanks a lot !

Merci beaucoup !!

Merci ;) Trop compliqué, pour moi en tout cas. Mais ca serait très pratique c'est sur !

Merci beaucoup !

Yes but in that case the AI would train his input to be 2x too fast. So you couldn't just apply the result in the game.

@@sibonyhugo5887 after the training you can just slow down the AI

I get game data ~60 times / second, so I can't accelerate the game speed too much if I want AI to get data / make actions with a sufficiently high frequency

@@yoshtm I think that frame perfect inputs are useless in TrackMania, so if you speed the game to 200% while recording 60 inputs/sec the AI would then be able to perform 30 inputs/sec when slowed down, still more than enough. I would go as far as speeding it to 300% to get 20 inputs/sec, that's still an input every 3 frames at 60 fps

@@adeo So you want the AI to play with lag while it's already struggling ? What ?

Yeah I think that could work too, use supervised to get it started so it doesn't fail entirely at driving then a genetic with slower mutations for improvement.

Just in case you didn't know (he didn't list the music sources in the description) Most of the music I've heard in this video is from the Hades OST. a lot of banger tracks there.