DeepMind’s AI Trained For 5 Years... But Why?

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📝 The paper "From Motor Control to Team Play in Simulated Humanoid Football" is available here:
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21 янв 2023

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Комментарии : 860

@TEMPLERTV Год назад

A few years ago you helped ignite my passion of machine learning. Since then I’ve learned to code, have educated myself vastly in machine learning. I’m currently building my own small NN. Thanks for opening my eyes to something amazing

@TwoMinutePapers Год назад

That is absolutely amazing, so happy to hear your story! Hope the neural network will go on to do great things!

@HiddenExp Год назад

@@TwoMinutePapers You are big my fellow scholar

@bubbleboy821 Год назад

The first time I learned about them was SethBling'd Mario NN

@Litwinel Год назад

@@TwoMinutePapers this must be a great feeling to know you are an inspiration for others

@electron6825 Год назад

@@ThatGuy-kz3fx neural nutwork

@Makmarian Год назад

It would be cool if there were simulated sport competitions where teams used their own AI model against each other

@raylopez99 Год назад

They do this already with chess, computer chess competitions, the latest winner is AlphaZero-based Leela, just beat the reigning champ StockFish.

@SpaghettiToaster Год назад

@@raylopez99 Didn't Stockfish win?

@TwoMinutePapers Год назад

Loving the idea.

@cosmos3576 Год назад

I would like to see this also in FIFA.

@sebastianjost Год назад

There are competitions like that. Not sure if there are any for sports, but I've definitely heard of some other competitions: - Minecraft village/ city generation AIs - Minecraft resource gathering AIs (get diamonds etc.) - Ticket to ride AIs (board game) - bad piggies/ angry birds AIs (not sure which one) - chess AIs ...this is what I remember without actively looking for them. If you look for competitions like that, I'm sure you'll find some.

@anthonybernstein1626 Год назад

To get a feeling of how difficult this is: imagine QWOP with 56 keys instead of 4, and you don't just have to run but to play football, in 3D instead of 2.

@dzambi Год назад

@@eetm but your 🧠 is just a processor playing 3d qwop in the dark.

@InceyWincey Год назад

To get a feeling of how difficult this is, try to consciously control all of the muscles that are required to walk. Or just appreciate the fact that your brain can do that for you while you think about more important things.

@sfurules Год назад

@@dzambi I didn't expect this level of existential crisis on a chill Sunday....

@jamqdlaty Год назад

Also the buttons are pressure sensitive. ;)

@spizzleyo Год назад

All things should be related to QWOP

@jordyp3696 Год назад

they should do this with real rules (throw ins and cornershots etc), and with 11v11, run it for weeks on different computers, see if they come up with some kind of great strategy, see what formation and stuff they pick.

@letMeSayThatInIrish Год назад

And add stamina so they have to learn to economize their energy.

@softwarelivre2389 Год назад

And goalkeepers

@alihms Год назад

And a referee.. who always seems to be one sided too for the real effect.

@user-eg7cz1oq9m Год назад

@@letMeSayThatInIrish yeah... genetic, height, weight, heart illness, traumas :D

@nobodyishere Год назад

@@alihms lmao

@miladragon Год назад

I notice that they still seem to move really unnaturally -- their upper bodies seem very flail-y. I wonder if that would get ironed out if they were given some cost to excess movement (just like humans get tired).

@Saotik Год назад

I was just typing something similar before I saw your post. I even used the word "flaily". Adding fatigue to the simulation feels like it might have significant impact.

@budnick1 Год назад

Along similar lines, if there was some cost to getting hit, like being slow to move for some time, I wonder if there would be an emergent consensus to avoid causing damage to your opponent, like an emergent moral code. Would they even develop a tit-for-tat rule enforcement?

@nemonomen3340 Год назад

I was also about to say this. It seems to be a commonly overlooked issue when training AIs in movement.

@maelstrom2313 Год назад

They may be moving more efficiently than real football players. People don't always take the most efficient paths when moving, we have to consider extraneous social variables of how our movement looks. It's possible that it takes more energy to restrict the movement of limbs than to incorporate their inertia into the body's trajectory.

@miladragon Год назад

@@maelstrom2313 if that were the case, real soccer players would move like this. No one cares about looking stupid if they win (cf. the Fosbury flop, which looks stupid but is standard, because it lets you jump higher). There's also no reason to think that these should be moving efficiently, because there's no incentive for them to be doing so (they don't get tired).

@Quazlyy Год назад

I think the pre-training behaviour pretty much captures the behaviour of actual football players

@vasekbrezina2801 Год назад

Exactly :-)

@brooksgunn5235 Год назад

I was gonna say 😂

@theinacircleoftheancientpu492 Год назад

Ah, the bugs kick in sometimes.

@vixantenna Год назад

From the expert opinion of someone who's never watched football before

@JH-ji6cj Год назад

@Vixan knowing football, but not acknowledging flopping from a foul? Who doesn't watch football?: you

@jhunt5578 Год назад

It's crazy how the AI just iterates and comes up with through passes, lobs and cruyff turns.

@jakab174 Год назад

i am a little bit sceptical, with this, there are probably thousands of hours of footage and they show the best most human like stuff, these are things that just comes from the noise. If the ai would be any good they would shoot the ball directly to the empty net every time, then it would learn its better to put one player to the goal

@yousuck6222 Год назад

@@DailyCorvid You dont need a ref with robots. That's the point.

@SP-ny1fk Год назад

Imagine training an AI to do a task for 100 years in 10 minutes, then exporting it and importing it into a robot to achieve the task perfectly in the real world What a time to be alive!

@spinninglink Год назад

Think i saw something about them doing that with a ping pong machine, right?

@CircuitrinosOfficial Год назад

I wonder if they inject noise into the simulation to simulate the imperfections of reality.

@derekofbaltimore Год назад

Your point holds but i dont think that doing things in simulated world corresponds 1 to 1 with the real world. It would still need lots of training in real world (because the simulated world wouldn't hold all the variables that the real world holds and those small inconsistencies add up)

@josesandv Год назад

I have always ponder that if our universe is simulated, maybe it is in a supercomputer that does million of iterations, where every iteration takes milliseconds but for us is eternity

@el2746 Год назад

@@josesandv More like every millisecond does millions of iterations

@rogueyun9613 Год назад

Honestly the first one where all the players are writhing on the ground looks pretty accurate to me.

@KangJangkrik Год назад

Seizure?

@KuZiMeiChuan Год назад

@@KangJangkrik The other team hit me.

@dranirbanpal Год назад

Yes, that's advanced training on what to do after a foul

@vibovitold Год назад

neymaring the shit out of the game

@Soupie62 Год назад

If that was truly all you need do to play, I might stand a chance of qualifying.

@818suki Год назад

Even after all these years, you still amaze me with how understandable you make these papers for people like me. Thanks for really spending time in digesting this information to someone who's not in the field or can't allocate enough time to dive deep.

@TwoMinutePapers Год назад

You are too kind - thank you so much! 🙏

@monocore Год назад

I see some serious meme potential in this

@FenrizNNN Год назад

We can make a religion out of this

@MarcillaSmith Год назад

What is the game the AI is playing? It looks like non Americans trying to invent their own version of football 🏈

@LinggarMaretvaCendani Год назад

@@MarcillaSmith Why do you call it football when you bring the ball using hands? Shouldn't it called Handball?

@speedfastman Год назад

@@LinggarMaretvaCendani No it should be called soccer cuz it socs.

@MarcillaSmith Год назад

@@LinggarMaretvaCendani handball is when you can't afford a racquetball racquet.

@manofsan Год назад

*Imagine a Zombie movie/show where the zombies first start out writhing on the ground, and then quickly they learn to get up and walk, and then run, etc, etc*

@vibovitold Год назад

and once the movie credits start rolling, there's Pink Floyd's classic playng in the background "...Hey, teacher! leave them kids alone..."

@thecousindeci1103 Год назад

bruh thats a really cool idea for a game. The longer you live the smarter the zombies get with ai, honestly it would be scary as shit when they all learn to run and look for you in houses. Something like project zomboid but at some point the zombies learn to coordinate.

@JakeHaugen Год назад

This actually could be a really cool esports team. Like imagine if madden had AI agents to play the team. It was actually pretty entertaining to watch.

@michaelatorn8380 Год назад

I see great potential in deadly sport types played by AI.

@zapdart1803 Год назад

Worth checking out altered state machine and their upcoming games (FIFA AI League and AIFA)

@Ulexcool Год назад

Nah

@MrUbister Год назад

@@Ulexcool Hater

@brendanrodgers9753 Год назад

@@michaelatorn8380 any examples of what sports specifically, can't think of any other than extreme diving

@zodywoolsey Год назад

I would absolutely watch videos of a bunch of ai players fumble around like this for hours.

@devfromthefuture506 Год назад

Me too and I would like to ask where I can find more videos of these

@zapdart1803 Год назад

FIFA AI League is releasing in less than a month. You will get your wish

@aaronconnolly1496 Год назад

Just go outside man

@DudeWatIsThis Год назад

8:22 **gets lightly tripped over, falls down and has pain seizures** The most realisting thing in the entire video.

@BryceRogers Год назад

It would be cool to watch the 50 days AI vs the 3 days just to really show the improvement.

@xAgentVFX Год назад

I want more Ai Football!!! I wanna watch a full match! Looks so fun. Imagine what they might do years from now??

@connoraugustine2127 Месяц назад

This is the kind of niche thing that I personally really enjoy reading in my own time, but it's so much better when you have a PhD holder narrating for you and showing you all of the nuance that you might have missed.

@lGNITED Год назад

Two Minute Papers, thank you so much for providing us such incredible content.

@otto-pi8xu 7 месяцев назад

I need this to become a thing, like using real football matches to train the AI and have simulated matches between real teams based on how they play. I would love that.

@thomasrosebrough9062 Год назад

0:53 me when mom says I can't have another pack of fruit gushers until I eat some broccoli

@sithmaster Год назад

Just imagine the labour curve going down suddenly after a couple of weeks… nobody knowing why… and AI looks like it would start to discuss and talk to each other on the field rather than playing. THAT would give me goosebumps. ;D What a time to be here.

@OperationDarkside Год назад

Boston Dynamics vs Real Madrid when? Also I want to see 100 vs 100 players and if this can be transferred onto soldiers like in Totally Accurate Battle Simulator.

@usm1le Год назад

realistic human movement that follows the laws of gravity and moves on its own has always been fascinating to me

@JanBadertscher Год назад

I would love to find out with a model like this what the ideal play style would be according to game theory and physical limits of the players, but still having to follow all the rules. For example: Would it actually be better even for the goal keeper to move out and play in the field, vs. staying in the goal? I guess humans didn't figure out optimal gameplay yet for soccer and this could lead to new and crazy strategies.

@SweBeach2023 Год назад

It was my initial thought as well. Using AI we could try so many new strategies. And it wouldn't be hard to give the different AI players different properties to reflect the properties of the real players of a professional team. On eis a faster runner, another have better stamina, a third one have great control of the ball etc.

@larryking6259 Год назад

Thank you especially for comments on those graphs. Big respect!

@petermoras6893 Год назад

I think one of the major improvements in the last few years we've seen in AI training (besides training size/time) is how we train intermediate goals to speed up training. If we simply took the untrained AI with the joint body, and asked them to learn soccer, it would take forever with minimal improvement. But as we've seen in this video, they first train the AI to enable it to walk, dribble, and kick the soccer ball. Once the AI knows how to perform general ball handling tasks, it can use that understanding to more quickly learn to score goals. This might just be my perception though.

@vibovitold Год назад

the next logical step would be (and it's probably already done to some extent, in one way or another) to split the AI into a "teacher" (supervisory) and a "pupil" (learning) AI, whereby the former one would be in charge of figuring out and setting the incremental goals for the latter to accomplish

@ianbot Год назад

How epic is it gonna be when a fellow scholar makes a soccer game like FIFA but using these AI's

@zapdart1803 Год назад

FIFA AI League game is about to be released on the App Store

@theflashevo6137 Год назад

Wow, this video showcases the impressive capabilities of DeepMind's AI technology. The ability for the AI to learn and adapt to the complex rules and strategies of football in a simulated environment is truly mind-blowing. I can't wait to see how this technology will be applied in the real world and the impact it will have on the future of sports and beyond.

@tim40gabby25 Год назад

Remarkable. Ex footy player here, wondering how long till these analyses show how Messi's additional value was in the distribution of labour - a 'team player'.

@dillanio9191 Год назад

They're using their body to shield the ball and then turning around to beat the pressure from opponent... Wow.. That's something one of the best midfielders of all time Xavi did often too... Incredible

@surajvkothari Год назад

If this simulation gets more accurate, it could influence how football is played in real life. Imagine when the richest clubs can afford to create such simulations and optimise their players.

@bobisatelier Год назад

they wouldn't need to be rich probably

@nontypicalguy Год назад

I'm fascinated by the game AI Roguelite and stuff like this video, so I'm subbing now - Look forward to seeing more of your content!

@chrisfaulkner9355 Год назад

The way this dude pauses to extend EVERY diphthong. A-and. So-O. No-O. YE-es.

@user-xl7kk1qn2i 10 месяцев назад

1:00 the footballers like babies he crying

@arifdiansdocumentary Год назад

0:56: "How much beer do you need" Him: "Yes"

@calamorta Год назад

4:22 that's pretty much Messi's signature move.

@MACHINEBUILDER Год назад

Just imagine if this ai was put into a robot and you had to play soccer against it. It'd be horrifying with how they move - imagine if they even looked like people 💀 Still absolutely insane progress with this kind of physics-based ai agents! It's crazy!

@asrar4907 Год назад

you do remember the part where he said that the ai trained without a refree? Gosh you need an ambulance

@davidwuhrer6704 Год назад

RoboCup Humanoid League

@MACHINEBUILDER Год назад

@@asrar4907 Ahha yeah you'd definitely need at least an ambulance after playing against these

@dagdbot83 9 месяцев назад

I think they did that already

@markaron9356 Год назад

*DeepMind - Magical Skills, Goals & Assists - 2023 | HD*

@pandoraeeris7860 Год назад

I, for one, welcome our new AI football overlords.

@Plafintarr Год назад

My heart desires a whole tournament with these little AI's. Crazy ragdoll physics and wild flailing bodyparts included. They are so fun to watch! Can you upload more footage?

@adlwilliams Год назад

The fact that it learned to embellish an injury, only to pop right back up is great

@drawmaster77 Год назад

it would be interesting if they added some stamina function, so they run more realistically and not swings their limbs all over the place.

@ChristopherCricketWallace Год назад

yeah. I would like to see the rules built-in, as well. Let the AI learn in the context of the real game with out of bounds, and penalties, corner kicks, etc.

@drawmaster77 Год назад

@@ChristopherCricketWallace I mean this maybe overdoing it with the rules, but at least have them run more realistically not like they are spazzing out with limbs flailing all over the place lol. Maybe add some cost to limb movement which factors into their stamina bar and when stamina is low they run really slow which would affect their performance and that way AI would learn to be more "efficient". Just throwing some thoughts out there.

@PsychBoost Год назад

I hope you have seen "Lawyer Explains Stable Diffusion Lawsuit (Major Implications!)" by corridor crew uploaded a few hours ago. He even uses your catchphrase at the end! What a time to be alive!

@woodybob01 Год назад

One day there's gonna be a better way to 'start' these training projects. It just seems wrong that they should start with such little knowledge. I'm sure something will arise as we work towards the future. By the way this was damn impressive! Just the mere fact that it could side-step and through-ball shows how much of an understanding it really has about the game, a surprisingly deep one!

@bingchiIIing Год назад

@@DailyCorvid loving this

@ai_is_a_great_place Год назад

I can't wait to see the Olympic AI Opening ceremony!

@mason4295 Год назад

2:11 "Holy mother of papers!!" hahahaha love it. Great videos and papers 🤖

@visualbree Год назад

The through ball at 4:29 is amazing 🔥🔥

@GikePeterson Год назад

2:20 We used to do the same trick when we were kids, passing over the wall when we played soccer.

@khangvinh4656 Год назад

1:13 This is proof that not knowing how to play football can cause extreme cases of seizures.

@argo2720 10 месяцев назад

it would be so sick to see full teams progress and having a goalie learning how to goalie and adding in rules like offsides, out, fouls, penalties. would like to see what formations they would come up with or if they would stick with the all forward all back game plan

@juliandarley Год назад

even more fascinating than usual! this has some extraordinary implications both for AI-generated video and possibly for humans, if 'division of labour' could be translated back to humans in the form of more collaboration. for AI video it surely means we are quite a bit closer to being able to create a background street or restaurant scene and not have to animate every single crowd artiste (a nightmare). this would be hugely helpful in itself, but if/when combined with the ability to direct avatars at a high level (eg "please go and pour some wine into that flute"), it will bring us closer to being able to make virtual movies, especially for difficult or dangerous scenes, which could then be intercut with real actors.

@mstreich Год назад

I was thinking teams could learn new approaches or possible plays.

@JorgetePanete Год назад

"please" 😂

@axelwickm Год назад

The pure PANIC in their running HAHAHAHAHA

@enderyu Год назад

Don't forget the guy having a mental breakdown at 4:22 and then immediately snapping back to the game

@axelwickm Год назад

@@enderyu It is all very relatable.

@ahabkapitany Год назад

"5 years pass by in 3 days. Are you thinking what I'm thinking?" Well I'm thinking about that Black Mirror episode with a clenched stomach...

@wurstkatze Год назад

In the first seconds: "... this Increadible AI..." meanwhile the AI spazzing on the floor xD

@aleksanderdl93 Год назад

Could be interesting to set the standard conditions/physics for the match and then have two teams train their NN best possible, aftwards pitting the AI teams against each other. Wonder if there could be upsets like irl or the better team would always win

@nawtmyrealnamelol Год назад

3:05 so cool how they visualize field control

@hunterjohnson6513 Год назад

And to think how jaw dropping it was to see open AI dominating a 1v1 against pros in Dota 2 years ago. Unreal how far it’s come and it’s only going to grow exponentially from here

@Enceos Год назад

I wonder if it's possible to train certain skills first, like getting up, sprinting and kicking separately, then continue with the game training.

@ianbot Год назад

I'd like to see a self-driving car trained in this way: We just need to use input data of some data of cars driving perfectly (at intersections, changing lanes, parking) and we can make a simulation where an AI agent is given the ability to press the gas pedal, steer left, right, use turn signals, (etc.) and also given input data about the car's position in lane, positions of nearby cars and pedestrians. We already have the technology to gather this data from cameras (tesla). Then we would train the AI agents. And if they can control these soccer players that have at least 20 different joint controls that need such fine tuning, we should be able to train an agent to drive a car, even have races, do tricks, or just drive from point A to B without crashing.

@Corvx 11 месяцев назад

At 4:20 you can see they have learned to fake injury, truly mastering the professional level of football.

@Plumfan_ Год назад

It would be awesome if they can also simulate some form of fatigue, some movements look too energetic or wasteful.

@bradleyandrews2444 Год назад

these little foot ball player are so fun to watch i could watch that for the whole day

@kairu_b Год назад

I like your storytelling, sir. What a time to be alive!

@qhieu195 Год назад

Reinforcement learning 2022 trend: get a lot of data and through it into GPUs training with visualization -> obviously get something look eye-catching

@mjpunited5727 Год назад

Physics agents are so interesting, I wonder if there is any demo of this that I can find so I can run it myself. Would love to train goalkeepers and play 6v6 or even branch out to something like fencing!

@REDSIDEofficial Год назад

Wow! The first steps of a Simulation World just started, can’t wait to see virtual peoples doing tasks like our own.

@nolikeygsomnipresence270 Год назад

Absolutely fascinating. Thank you

@MrHeliMan Год назад

I always wanted a physics-based walking system in a videogame and although I never thought I'll be here for it, this makes me think I just might. Counter-Strike 2 where you have to be careful about how fast you're running down the stairs or walking on mud? Yes, please.

@unclejuju12 Год назад

6:40 its interesting how that curve looks similar to the Dunning Kruger Effect

@emekayyi3332 Год назад

i love your content bruh, long time fan! ölelés!

@flamingosoup6375 Год назад

I wish there was like a place I could go and watch these AI do their thing in real-time, I could watch that stuff for hours.

@clarajosephine3295 Год назад

Where do you find those papers?

@santyricon Год назад

5:25, I'm afraid that they created Neymar from the ground up :O

@coder0xff Год назад

The tantrum after being knocked over is really interesting. It doesn't seem to be the optimal playing strategy, and I doubt the AI had its feelings hurt. Why doesn't it get up and get back to the game?

@ayoCC Год назад

Downtime was the most optimal play maybe lmao

@ACED1 Год назад

probably just like bugs (the insect), it doesn't know how to. it didn't ever learn how to properly get up, because only goals are rewarded. that's the main focus

@volkan7505 Год назад

The talking sound so robot like. Its like you have all the words with your voice already recorded and then you just type the words which automatically creates the voice

@cbob213 Год назад

So so they make all 4 players (2 on each team) learn from scratch? What happens if they drop an Ai in with a team mate that already knows how to play?? Do they learn faster? What happens if they can learn from a team that is better or worse than them??? Sooo interesting. I’d love to learn how to do more of this stuff. I have a few raspberry pi’s that I’m tinkering with but I bet you need a whole bunch more processing juice to do this type of stuff. I hope one day you can make a video that breaks down how to get into a project from scratch or starting from a GitHub library. What a time to be alive indeed. Just ask SkyNet 😉

@vibovitold Год назад

"What happens if they drop an Ai in with a team mate that already knows how to play?? Do they learn faster? " in principle they definitely should, because there will be quicker and stronger negative feedback = penalty for incorrect behavior this sort of learning isn't really done by copying or mimicking, but by adjusting the neural network attempting to avoid the penalties

@q.u.e.r.t.y Год назад

I would have loved to see at least a month or 2 into this. Bet I would learn something great from that

@chikita5110 Год назад

I studied multiagents theory at university and I can't wait to see this expermient go with more players ! BTW if anyone has sources about theory of agents interactions in tthis context

@heck-r Год назад

As far as I I understood what I saw, they weren't really passing. It was more like a combination of 0) Run towards the ball 1) Shoot as close to the goal as possible while avoiding the enemy (including bouncing off of the wall) 2) If teammate has the ball then position towards the middle and the goal (essentially where teammate will shoot), which is indeed impressive It may not sound like there is a difference, but there is, because passing to a teammate so he can shoot at the empty net is not the same as shooting the ball next to the enemy, missing the goal, and hope teammate gets there (who gets there, because he expects the missed shot)

@Bzorlan Год назад

If 11 a side and the full rules of the game were added then this could eventually be used to discover new tactics. Similar to how the chess ai developed its own strategies that humans could never think of.

@enderyu Год назад

4:22 The blue guy having a quick panic attack off to the side before returning to the game

@Glowbox3D 10 месяцев назад

One of my favorite 'agent' training examples. So wild.

@artman40 Год назад

So first they trained to dive. Pretty realistic.

@d9zirable Год назад

Neymar's fault

@potts995 Год назад

1:05 That poor guy in the middle of the field trying so hard to get back up!

@AdamsBrew78 Год назад

This was fascinating to watch. Would be thrilled if we ever get to see a similar experiment applied to mastering other sports or disciplines. Maybe have these physics bros learn to drive a little simulated race car on a very technical track ;)

@davidwuhrer6704 Год назад

RoboRace

@oolfur Год назад

"AaAnd. NoOow. BuUut."

@fruitlukes1736 Год назад

The red teammate at the top looks like something out of a nightmare 5:55

@martiddy Год назад

5:15 It seems that it was trained with Neymar footage haha

@SanSan-eo8rx Год назад

Very interesting If they could also simulat the muscle exhaustion or energy usage for the movement, they could have a more efficient way of running. Because for now they run very crazy, it seems they have these kinds of mouvements from the infinite energy they have to move in the simulation. Maybe also some injury system. And of course, like mentioned in the video, a referee.

@SMASH_REVIEWS Год назад

HOLY MOTHER of Papers,... Hahaha Love u Man.

@lautaromiceli4060 Год назад

4:28 THAT PASS OMG

@crazytiger6 Год назад

The corner of the internet where blue lines make us make happy noises if my favorite corner of the internet

@paulgaither Год назад

As a sports fan, it would be great to see 11 on 11 at a larger scale, add the rules of the game, and factor in variables such as height, weight, strength, speed, endurance, etc.