Can AI play a track it's never seen before? | Mario Kart Wii

[@sammyclassicstarfoxfan9827]

I think putting the AI on a track it already learned, but with a texture hack could be interesting, or putting the AI on a different track but with the same textures.

[@aitango]

That would be a cool thing to see, you'd expect it to be able to adapt much faster

[@ThePapaja1996]

Or drive it backwards

[@nashh600]

​@@aitangoor a different vehicle

[@phabrick8r21]

Bikes vs Karts @@nashh600?

[@tribble_omg]

The track in mirror mode

[@DoMorrMusic]

Now I want to see how well the AI does on every track, and then have it go against a human.

[@vincenzofranchelli2201]

Human would still crush it

[@captainphoton1693]

​@@vincenzofranchelli2201hen his little brother

[@zxqu2622]

@@vincenzofranchelli2201 give the ai 10000 hours of non stop training and then do it

[@vincenzofranchelli2201]

@@zxqu2622 i wouldnt be surprised. U got 10000 hours?

[@zxqu2622]

@@vincenzofranchelli2201 no i don’t even have 100, but although i would love to see it happen against someone with that many hours

[@ghastlyGrenadine]

I think I get why the AI struggles so hard the moment it makes a single mistake outside of training mode... If it doesn't fall off a cliff, it has no idea how to recover! I think if you could figure out how to train this AI to recover from mistakes? It would be a top player.

[@glitchy9613]

I think just add a reverse option

[@RushyoTakha]

@@glitchy9613 same issue. it'd never choose to use the reverse option after a while because it would never need to use it, so it wouldn't realise when to put it in to effect.

[@budgetcoinhunter]

@@RushyoTakha I'm not sure. I'd think that it would quickly learn that if the rewards start to decrease rapidly, it should probably try reversing and then going towards the next checkpoint.

[@ghastlyGrenadine]

@@budgetcoinhunter the problem is that he has it set to auto kill it after a crash... he'd need to train it specifically to recover from a crash in a specific training ruleset

[@ghastlyGrenadine]

@@MustacheMerlin my idea was more of to pre-pick a few definite crashes around the course and give it a huge reward for raising it's checkpoint flag by a decent amount, but I suppose that's also a good way to train it for crashes and normal play all at once...

[@OfficialBiggBenn]

I really like that you keep pointing out the problems with AI approaches (not conceptually, I mean practical problems, like how you need a convolution, and how improvement quickly stagnates). Too many people out there who only point to the cool things possible with technologies from the AI field and extrapolate from there.

[@jonahschreiner6531]

video idea: ai plays against itself (as other racers) and can use items. reward is based off its distance ahead of the others (i.e winning the race)

[@alvaro97vlc]

Amazing idea! It could take so much time, but seeing creative ideas like being last in the last lap to get the bullet and crush the game or the IA learning how to aim to other player with a shell... Truly interesting and at the same time scary

[@sushi_rolld]

bump

[@ChuckSploder]

There's so much stock footage in the intro I thought it was sarcasm

[@fernbear3950]

ML engineer/researcher here. Good stuff. Try training but with occasional input perturbations based upon the average score achieved by the network (will self-normalize as it continues to get better). This should make it more robust towards running into walls, etc, trying to approach a learned invariance. You'll likely need a power distribution of multi-button inputs to simulate things that would cause you to thonk into the wall like hop cancels and etc. This will also provide the requisite noise for your network to explore new strategies, ala genetic evolution. Hope this helps, and this should greatly ameliorate and/or fix your issues here in terms of/w.r.t. the retraining, esp as the 'learning space' of the network becomes so much larger. Gating it based on performance as well ensures that the regularization/extra data-learning/learning to be robust happens naturally as a curriculum, and affords a consistent level of information ingest to the network over the course of training.

[@connorkapooh2002]

have you ever read his code or listen to his explanations of convolutional layers

[@fernbear3950]

@@connorkapooh2002 ?

[@y..l..8412]

I think you could get better consistency if you added some random filter to the different images. Making it less relying on the specific looks of levels

[@sjoerdgeraeds6757]

Noise filters

[@OuroBoros_Games]

But this does make it lose potential?

[@TVPInterpolation]

​@@OuroBoros_Gamesusually it isnt the case, computer vision can adapt in such ways rather gracefully.

[@user-qw1rx1dq6n]

@@OuroBoros_Gamesweirdly enough usually it’s quite the opposite neural networks tend to have too much capacity that starts causing something called over fitting where the network just becomes really good at memorizing the data you’ve shown it that hurts generalization but if you add noise to the input the network can’t memorize all the data and has to rely on heuristics more becoming more resilient

[@thejunkman]

I think that is the main thing that is the problem with any of these simple AI's. They don't know and never will know they are playing a game, much less Mario Kart.

[@g_fenocchi]

It would be cool to compare how the AI's average reward compares to that of a human.

[@luis-sophus-8227]

well, humans mostly struggle because of their general skill, which doesn't apply to ais ais are perfect skill but no perception we are perfect perception but no skill

[@bananajamin8284]

Nah he’s saying if a human driver drove how much reward would the AI detect

[@UhDots]

I’d love to see the AI learn some custom tracks from CTGP as well as any AI’s you’ve had to kill because of failure. Great video as always though!

[@mjcox242]

CTGP (Wii) isn't possible with this (easily) You would need a tas bot hooked to a real Wii, then deal with the added anolouge noise and in-ability to save state.

[@theunpopularcuber9554]

​@@mjcox242The custom tracks (as far as I know) should still be possible though.

[@nixienooo]

I’d love to see an AI attempt mushroom peaks

[@mystora7159]

​@@mjcox242you don't need ctgp to play custom tracks

[@mystora7159]

I think it'd be more interesting to see other tracks not in ctgp, specifically the crazy ones like nightmare, electric shredder (lol) and anti gravity area (i think that's what it's called)

[@trunkit8749]

I’d love to see this ai race on a track where every texture is replaced with a color for its corresponding material (like off-road, road, wall)

[@gavin_bigred]

It would be cool to train it on every map, and then give it custom maps and see what it can do with that knowledge. If it’s possible maybe even other Mario kart games

[@hansjmo]

when approaching a limit like a lap time, progress in terms of time will go down, but the skill is improving. I would not say that Twice as fast is Twice as good, it's way more than that :) if someone is 1% faster than the other close to the theoretical limit, I would say that he is way more than twice as good because it gets harder and harder approaching the theoretical limit :)

[@joep2999]

That's a great point. Maybe the fitness function could be influenced by the difference between the final time and the human world record. I think an exponential of some kind would capture the skill difference you're talking about.

[@samuelthecamel]

Now for the ultimate challenge: AI vs. Rainbow Road

[@starwars4427]

My biggest wish is to see how it fares vs a human player after like the 120 hour mark. Cause just the limitations you put on it with the controls would probably make it pretty easy to beat

[@chicklucas6682]

150 hour AI vs 10,000 hour player, battle of the ages

[@starwars4427]

@@chicklucas6682 Let it run for a while then! I just think itd be interesting to see cause we always talk about how good and objective the AI are so seeing how it fares vs a human would be cool.

[@potatojuiceultra]

@@theAstarrr It looks like it would actually be pretty easy to beat, since it doesn't go for as many mini turbos and does a lot of random unnecessary hops.

[@zchilly7775]

@@theAstarrr I'm not a grandmaster at Mario Kart Wii, but even my slightly decent lines could stomp the AI. They aren't chaining mini-turbos into wheelies, and they constantly lose their wheelie speed by hopping. I would be 11% faster and gain time on every straightaway, making it a wash

[@duckdudette]

"Less savvy side-kick" *shows picture of a robin*. I see you, editor! 😂

[@leafly7917]

I'm like 90% sure it's an AI that edits those gifs lol

[@phabrick8r21]

@@leafly7917 Who's editing the film, Batman?

[@leafly7917]

@@phabrick8r21 bro what

[@realElo.2]

sorry if this isnt true, but i mean this in the kindest way possible: why does the script feel ai written?

[@Colewis1]

lol

[@looki4561]

Loved the commentary on this one! Defintiely feels like an improvement to the last video. Overall the video felt made a bit better, but I can not put my finger on what it was.

[@aitango]

Really glad you liked it! I'm trying my best to improve each video as much as I can

[@austinhurst467]

I hope winter comes soon for you to keep your room cool. These videos are awesome!!!

[@aitango]

Thank you, I've never been so excited for it to get cold haha

[@AntoLne]

Your videos are genuinely such good quality and keep getting better! I really enjoy watching them and I'm sure you'll soon get the recognition you deserve!

[@Delkaryon]

I wish you the same chose

[@NZIA]

will an ai be playing in esi4

[@aetherspill]

Hi! I love your videos and they're super interesting to me as I go through my software engineering degree. I'd just like to say something about a thing you said in your video. 5:27 "Here's where our AI brings an objective perspective to the table. It doesn't possess these personal biases or preference; it simply just learns and adapts." I think it's important to make sure viewers know that reinforcement learning models are not necessarily always free of bias. It's definitely true for this example and your other Mario Kart AI videos as there's a definitive metric for measuring success in a goal's completion, but reinforcement learning is not a perfect solution to erasing biases from a problem. Whatever biases the creator imparts into the AI (i.e. what is considered rewardable/punishable behaviour), unknowingly or otherwise, will influence how the AI makes its decisions. It's up to us to determine these biases and be aware that we have the ability to make them intrinsic to the AI. Obviously you never claimed that reinforcement learning is free of bias, so I'm not trying to make a callout. I just think this is info that more people should be aware of :>

[@theftking]

After training it for a short time on the new courses, is there a possibility that the AI would actually perform _worse_ on the initial courses it had spent most of its time training on? Basically like, could the AI have become more intelligent overall for a diverse set of courses, yet less specialized for the initial four it had been tailored made for?

[@Mezuzah87]

What happens when you put the AI back on the original tracks? Does the new track's learning hinder it? Does generalizing it to additional tracks lost its specialization to the original? Maybe this is a silly question lol.

[@timberlin4075]

i think that's called 'catastrophic forgetting' and it's definitely a legit concern

[@JordianLoL]

I assumed he trained it on all previous tracks as well just added the tracks into the pool. Or maybe he has weights so he weighs the new maps really high, but the ai still gets some old maps so it doesn't completely forget.

[@That_Awesome_Guy1]

@@timberlin4075 I don't know much about this stuff, but what if as they did the transfer learning back and forth on new and old tracks they slowly increased the size of the network? I think that would help it generalize while still allowing capacity for remembering things it has learned.

[@Wato-1876]

i heard jort storm in the background lmao, also amazing video

[@branbri8178]

I wasnt a big fan of the random images and gifs but the racing visuals were entertaining :)

[@donskelz7771]

Just curious but does every video use the same code or is it revitalized each time?

[@nicolasn12]

"its going to just rely on the screen" finaly someone did what i always wanted.

[@aitango]

I really like that it only uses the screen, makes it feel like it has a level playing field

[@PinkyNardo]

Again another amazing video on how AI can adapt and learn then carry its previous learned attributes to the table in the next stages. It is an awesome way of showing how it can retain its reputation and keep up. All it has to do is tweak a little for the next track and its all good, and all of that is part of the previous tracks processes. This is the AI I want to see impact the future of gaming. Let us Pray 🙏

[@illford]

Ngl tho if people took this shit online I'd be pissed

[@Luweg01]

Really cool to not only see that the ai is doing decent on the unknown tracks but also manages those after very little training. Why dont you do this more often and always start from ground zero ? I would love to see you give an ai a really good control over the game, then start with one track until it can beat it consistently and then go to the next track. It would be interesting to see how long it takes for each new track and how its driving on an unseen track might change depending on the tracks it has seen. You could then see how it performs on the original stage after it has seen so many others. You could then make changes again like enabling npcs or items to see who that changes it or how long it needs to adapt. The important parts are to show enough footage of the new stages and performance that we can see the improvement. You could also turn it into a series, a challenge of sorts to master the entire game.

[@autumn4442]

I think the purpose of starting fresh each time is because they're trying to test something new. If you start fresh, you can see how the change affects how the A.I learns differently and compare it to a control. It's really about what your goal is: to see how they learn, or how they adapt when thrown into a new set of circumstances.

[@Bleuthatup]

Ah, yes, the type of literal video editing where if the voice says “square root”, the video shows a square shape, and, next, the root of a tree. Premium stuff

[@8BitRip]

Just show us what your doing, not random stock footage. It’s so distracting from the actually interesting content

[@rafaelleone678]

5:39 I laughed because he was doing so good and the speech sounded so motivating

[@dougfoster445]

Thanks for putting the music u use in ur summary and notes! Love the tracks and was grateful you gave the artist credit!

[@blockmath_2048]

Finally! An AI video where the AI actually learns to drive, and not spit out an evolved series of inputs!

[@badischertraum1806]

My dream would be a 1v1 between AIs to see how different or similar they learn and if one of them winning the most races

[@Atlas_Redux]

Could be interesting indeed, having parallel competitive model training.

[@icanlevitateoff]

these videos are super interesting, kinda nuts that after you trained the initial 4 tracks an hour of training was enough for more tracks

[@aitango]

Yeah I honestly didn't expect it to adapt quite that fast

[@NeXaSLvL]

its almost like it has an infancy stage for the first day

[@l-bear_0528]

I’d be interested to see a pro MKWii player go against this bot! Keep working hard!

[@eduardozanotti7046]

Awesome video bro!! Great AI you created there. Would love to see more

[@Mobtrapper-hq8is]

Now try changing from Funky Flame to a Kart after it’s mastered an entire GP

[@kalebheavyshadow5838]

Is it only me but the first 55 seconds kinda went crazy

[@WhyHelloThere779]

I know this would probably take way longer, but I’d love to see the ai with all normal controller inputs (minus 360* turning) and only being rewarded based on what place in the race it came. Wondering what weird strategies is would come up with to win, maybe find shortcuts.

[@alansmithee419]

It would never learn to complete a race. You would have to take a trained AI, and then switch to this reward structure. If you never reward it unless it finishes a race it will never discover that it needs to finish the race in order to get a reward.

[@RikkunFops]

If we were to read memory well enough, we could be able to learn when the player character is offroad and punish the AI simply for going offroad. This may speed up and teach the AI to better map out the safe areas of the circuit.

[@BobzBlue]

Now put one on ctgp (Maniacal laugh)

[@aitango]

(AI cries in mushroom peaks)

[@phabrick8r21]

@@aitango *Clip montage intensifies*

[@bricksalad_]

I would really like to see a video of how an AI (similar to the one in your training with items video) could handle HARD CPUs, unless it is already doing that (which would be amazing!).

[@aitango]

It's currently not against hard AI, but that would be really cool and something I'll look to do in the future!

[@DougSalad]

Stil camt seem to stop them bots from hopping around like bunnies, but was REALLY cool to see how relatively quickly it could adapt to the new courses

[@Vernafveik]

I love how the footage used to represent the AI being taken is someone robbing a car

[@Kaitri]

i like how the thumbnail is basically "ai never seen before" sounding like this is some crazy god ai :D

[@shal6178]

It really makes sense the AI progress slows down after reaching a certain point, cause like in any speedrun there is less ways of saving time so you get just some micro optimizations of the run

[@JRS06]

So this is why there's just a million people who always play as Funky Kong and all play fiercely competitive...

[@Ascension721]

I get the tiktok text intros are good for the algorithm and thats good and all, but seeing the text come up word by word with the text at the bottom too is kinda funny to me

[@dinamiteurdinamiteur2324]

Now, take this AI trained on 4 courses and put it on 4 other ones and see how it adapt. Do it 3 or 4 times and you should have an AI who can plan every tracks or almost

[@devilblackdeath]

I'd love to see every track added in little by little ! See how much that reduces the training time every time, maybe even to the point that it would actually be able to complete a race on its first try ?

[@DeloofTegOrb]

I love all the stock footage used in this video for absolutely no reason lol

[@aitango]

Glad you appreciate it haha

[@timhorton8085]

Subtitles for framed text which is being read allowed [closed captioning available]

[@apr1l-813]

no fucking way bro is using JORT STORM for the bgm

[@mackowacko5166]

It’d be cool if you let the ai train on one track only for a whole year straight, and then have it go against a human on that track.

[@hephaestus8266]

Jortstorm, Jortstorm’s coming tonight.

[@bugsisland3061]

The final evolution of this AI is playing other kart racers

[@Woopah194]

This video gave me a interesting idea what if you trained a ai on a track but then once it learnt the track you put it in mirror mode

[@memcgee7832]

this is what we've been waiting for

[@mrbanana7110]

Now i have my answer ty Next the ultimate test would be to learn the item again and then all of the tracks just so it know the color and then make it compete against mariokart pro but ik this could be impossible as how difficult it looks like

[@chadd990]

great, now you can train it to navigate the main menu, start up a new game, and complete the Lighting Cup

[@dungeontortoise2432]

Be careful when claiming that AI gives an “objective perspective”. Often, we unintentionally insert our biases when we decide what outcomes should be rewarded, or what tools machines can learn with.

[@Atlas_Redux]

This, and AIs even gets specific preferences randomly between runs on some training dataset.

[@durpy4442]

been waiting for this stuff thanks, instead of just training one for each map

[@tristanderoo]

That Yoshi Falls race was impressive!

[@professordragon]

Really impressive that it was able to adapt to the new tracks so quickly!

[@HugRunner]

I think it would have been interesting if you later let the retrained model play the original tracks again. I'm pretty sure it would get worse on those, and that's the problem with AIs like this. They find a somewhat general solution that is pretty much an average/optimization that can solve several tasks, but only just. It's not becoming an expert on every track individually, or remembering that track 2 has a shortcut or whatever, in case it stumbled upon that in it's initial training and got a huge reward that time. I think that unless you introduce some kind of memory-system for the AI, it will eventually fail (or lose performance) on pretty much all tracks, given it has been trained on enough different tracks, because the "average solution" doesn't apply well enough for all tracks any more.

[@Atlas_Redux]

This, always try and go BACK to see if the retrained model still manages. That will give an indicator if it's trained to be both adaptable AND retain skillset, or the skillset keeps getting manipulated specifically for the current dataset.

[@jolkyb2039]

Okay, video was fantastic. Great job. But I have to know... Are you using AI to choose the b roll footage? It's like... Related to what you're saying but only by a thread.

[@mikehulsebus]

When I talk with my friends we are like "man that track was so hard, I couldn't detect the edges". I am a human.

[@aitango]

How to fail a captcha 101

[@frex102]

instead of learning tracks i wonder how good he could be on the other gamemode A.I is something completely new to me (in a sense that im actually curious about their potential) i’ve been gaming the past 15+ years of my life and being myself not much of a pvp player i often find A.I in different game intricate I know they aren’t neural network they work based on pre determined pattern and I often wonder how far can neural networks go if we give him a ridiculous amount of hour would he be the best at what he do ? would it be better than human ? this is kind of my dream A.I tbh normal A.I can already do crazy things human will never do but even with that they aren’t better. there is a game called rain world i would love train the A.I to (plus screen wise the A.I won’t have much trouble at all recognising things) but I am unable to get a PC myself and I will patiently wait until I get one.

[@illford]

In this instance with the current conditions it probably wouldn't be better than a human, which is only because the AI doesn't use items, items are like half the life of this game in FFA so not using them puts you at a big disadvantage, the other issue is you need to give it a lot more control but that just increases the amount of time required to an unviable point for any normal person tbh

[@notchase]

please stop using stock videos as visual representations of every other word. its really annoying to see all this unrelated stuff happening.

[@omarrodriguez1929]

That's the part you complain about?

[@hellium6613]

You should try making a similar ai for a game called track mania, the scenery is so much less diverse and the driving mechanics are simple but elegant. I also feel like only allowing the ai to see the screen isn’t doing us humans justice, we memorize tracks, we don’t just look at the screen and decide what to do based on that. Either way, great video 👍

[@nrxpaa8e6uml38]

It would be interesting if it was possible to make an AI that learns faster, i.e. get the same fitness in much fewer hours. I've had this idea (but no time to implement it myself) that you could train a transformer that just predicts pairs of frames (in the embedding that is produced by the vision CNN) and actions. You see, the transformer learns from literally every frame, even in epochs that fail to produce positive reward, so it could be much more efficient in building a good internal representation of the game. The pre-trained transformer can then be put through reenforcement learning to predict pairs of actions and frames that actually maximize the reward. This is inspired by how ChatGPT was made: They first pre-trained a transformer that just gobbles up all the text there is, and then they use REL to get it to follow instructions. If they didn't have the pre-trained transformer, then it would have been completely hopeless to try to get an instruction-following AI from human feedback alone.

[@someperson8249]

I like all the stock images that have minimal relation to the words said

[@DeejayNiXoT]

Would AI ever stop driving Zick Zack?

[@GroveOfGraves]

Have you considered livestreaming the training process of one of these to KZbin? That way you get to record all of it not on your device, plus people can watch if they wanna and check in on its progress. The only downsides I see is if you're data capped or bandwitdth limited

[@aitango]

I actually did livestream one of my previous AIs! I might do it again, but the stream is pretty boring since the improvements are so slow. Also I wouldn't want to livestream it unless I know it'll work, which isn't usually the case

[@RM-mv5yz]

Would love to see the AI go up against a human.

[@zephielexe4527]

Man, do I wish I knew how to do this. I would love to take an AI and train it to play fighting games. And I’m also curious what the best time your AI gets on those tracks are.

[@EXFrost]

Fighting games would be hard i think

[@phabrick8r21]

Smash Ultimate Amiibo without an Amiibo? Nintendo would be furious 😅

[@EXFrost]

@@phabrick8r21 comment has nothing to do with amiibos. Why smash ultimate amiibos??? You know they were in wii u too, why specify? Also AI is way way more advanced than than the amiibo "learning" system nintendo has in place in smash. Itd be easier to make an ai for traditional fighting games rather than platform fighters as you dont have to worry so much about movement and stage stuff which would be the most difficult thing id think. Itd be very cool to see either tho tbh. Someone might have already trained an AI in melee tho iirc. Haha you read this far and didnt realise im being an asshole and overanalaysing your comment on purpose hahahha

[@Strobenz]

This is amazing. Would love to see this AI attempt one of my tracks!

[@misterperson3469]

This was great, exactly what the previous videos made me curious about! Though a note on the "objective difficulty" of tracks: wouldnt a reinforcement learning AI be equally susceptible to gaining a bias due to the track misaligning with how its learned to drive up to that point as a human? Not to mention issues with the reward function, say it can drive off road losing all its speed but hitting the next checkpoint faster. It needs to drive well through that part of the track for it to stop running off the road for that sweet reward bump.

[@fattyMcGee97]

I look forward to racing games in the future using this sort of tech, as well as basically every other game type. It’s going to be a lot more engaging fighting an AI that actually knows how to play the game as opposed to the more simple AI’s that we currently see. Especially if the neural network ones learn as you play.

[@illford]

Tbf idk how good it can be at Mario Kart considering it doesn't really seem to play with Items or any kind of semi-advanced maneuvers. Item wildly scale how good a player is. I also just really wanna see it aim green shells

[@fattyMcGee97]

Tango already did a video on this and showed it could be done. His AI wasn’t perfect, but hardware and time limitations is what prevents home from being able to push AI farther. Now, if you hand this to a team of devs with access to much better hardware, I am sure we’ll better results. Also Tango’s results were very promising with his limitations so I’m still looking forward to seeing where neural networks can take us with regards to gaming.

[@keygremlin]

This is like a newborn getting better than me at Mario Kart within 5 days of birth. We as humanity are so screwed.

[@TheSlimHim]

Idea 1: Train it on all default tracks then have it try against custom tracks. Idea 2: Train it on a track then have it try the mirror version as that would be very visually similar but differnt

[@FranXiT]

This is your best work yet! The improvement since your previous videos is incredible. Keep it up man!

[@KARLOSPCgame]

AI idea: Pick this Mario kart wii trained AI to compete with a Fresh AI in another Kart game with similar mechanics, Crash racing. Etc.

[@jahlove40]

Without a doubt: best videos ever, cheesiest b-rolls ever.

[@aitango]

I'll take that as a complement haha

[@AzaIndustries]

I kind of hope future dev will employ ai learning for AI apponents, it would be so much more chaotic and dynamic.

[@aitango]

I would love to see that, infact I think being that type of developer would be my dream job haha

[@aurastrike]

I want to see the inputs expanded - perhaps with more specific input types we can see the AI begin to drive smoothly and charge mini-turbos. I would love to see an AI stomp online races because it's just that smooth, precise and.. well, good

[@FormulaHavocOrland]

I think this is the best way to train ai because its not just memorizing the track. Plus it gets a chance to prove what it’s truly capable of, rather than just continuing to race the same track. Because how do we know whether or not its memorising.

[@jackatk]

0:28 What am I even looking at

[@CoreyDavid22]

Nice Vid man!

[@eulefranz944]

You could argue that it already learned how to maximize the reward and in the 1 hour it overfitted with ease to the layout of the new track. To counter this argument train it on a track and then test it on a similar looking track, you could even do a mirror version of the first track first

[@Den-gw3hs]

Heres an Idea: can AI beat champions road. (i think this would be near impossible maybe do this in the future)

[@slouch186]

I'd like to see an AI that does have access to information not immediately visible on screen. Real world AI applications usually have these factors and optimizing around them can be interesting

[@dmace14]

I just noticed the background music in some of the video is the same stock music Charlie slimecicle used to make jortstorm and I’m now hearing it everywhere lol

[@CodeF53]

I feel like a better analogy for the retraining is playing on mirrored tracks.

[@Yngdady]

Ai doesn't have too "see", it just requires basic pathing scripts

[@whattheheckman3004]

It’s not in Mario Kart Wii sadly, but I would love to see what an AI would do in Yoshi Valley with its multiple paths.

[@alpha4935]

Oh boy, do I have good news for you! Yoshi Valley IS in MKW, just not in the base game. Currently the most popular mod for the game is called Custom Track Grand Prix (CTGP). I'm sure you can already tell what it does from the name alone, but it adds a selection of over 200 fan made tracks, including basically every track from every previous Mario Kart games, some from other racing games and the rest completely original tracks.

[@timberlin4075]

it might experiment a bit with the different paths but end up settling on a somewhat arbitrary path. after a certain amount of time, it'll probably just keep racing the one path it knows the best and wont have the foresight to analyze the map, backtrack, and reevaluate which path is fastest

[@thorgs4871]

I clicked on this expecting it to be the other way around, so to see if the in-game ai could navigate custom maps lol

[@Atlas_Redux]

No, because they're not AIs. They're highly scripted bots that only works on set levels and does not work if you change it.

[@Irohnn]

I've been watiting for something like this!