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To be fair, i truss more the human-built bridges
Ответитьmuy corto el videooo
ОтветитьCould you not have used FixedUpdate and set the tick in settings
ОтветитьThat was so cool, kinda wish it was much longer haha
ОтветитьAI ultimately finds a cheat. Seems very concerning.
ОтветитьSo, you didn't do poly bridge. You did your own game.
ОтветитьPolybridge 3 civilization goes hard
ОтветитьWas that a RCE reference??
ОтветитьAi needs to die, let us do the creative things
Ответитьwhat if you gave a neural network 30 billion neurons?
ОтветитьMinimise the cost of material, please, that was great
ОтветитьWould recommend a better initial population so that good parental features are preserved. Also, need to add dynamic constraints. I have a document explaining a similar project in my git repo.
ОтветитьI’m way too busy to play the game so I recreated it (also playing the game to test if I do everything correctly) and use a genetic algorithm to solve the problem.
Sounds good 😂
When the video ended I said out loud "damn it's over?"
ОтветитьI love to play unity games
ОтветитьAnother point of reinforcement should have been the speed of the "car". The faster the car reaches the flag, the better BUT:
if the velocity of the car is faster then a set value (overspeed) or doesn't move below a certain threshold: penalties.
there could be another penalty, if the car drives backwards. just some ideas i had.
Have a fitness test that measures the 'wobbliness' of the structure so that the model tends towards a static object.
ОтветитьI have absolute no clue how ai Training works but wouldnt it maybe be more effektive to give the ai the soluten of the lv. So it knows how a bridge should look like and then start mutating from there, by rewarding the least amount of pieces/weight used.
ОтветитьRCE reference real
Ответить"I'm too busy to play this game, so I recreated the game for an AI to play it."
ОтветитьVideo was kinda underwhelming, you spent way too little time looking at how the ai solves problems and what crazy solutions it comes up with. I disliked the video, but i appreciate the work you put into making this, coding is not easy
Ответитьi wonder how much would change if you added more rules to how the score was calculated.
for example: would the AI make more bridge-like structures if you penalised them for having a wobbly bridge (the nodes of the bridge having a high velocity during the simulation)
food for thought
I used your AI model to help my son build a popsicle stick bridge for a class project. He got an F.
UNSUBSCRIBED.
When I build an AI, I like to take my progress, save it, change a variable, and continue
It's easier to tweak when the results are nearly instant
Ok so im extremely late to this video but why remake the game? Couldnt you use melon mod loader or something like that so you can get the data you want directly from poly bridge ?
ОтветитьWhy don't, you all, make mods that implement ai into original games? Why are you making copies of the games?
ОтветитьAh, another good creator I find after they leave... How bloody great
Ответитьmakes me wonder if AI will ever be able to actually have its own intelligence, as the way reinforced learning works is defined completely by the reward function made by a human. And currently it is more time efficient for the human to solve the issue themself, rather than constantly tuning the reward function to give the desired outcome. It's just not possible to translate a human problem into a reward function for an algothrim.
ОтветитьOk.
ОтветитьWhy are you using a custom "Elapse" function instead of "FixedUpdate"?
ОтветитьGo "Crazy Machines" =D
Ответитьbro I discovered your Chanel and I love it I hope you get back posting bc of your editing style that makes it more interesting and fun . Without your game changing video I would have know about this . I hope u give us an update
ОтветитьMaybe double the mass of the ball, forcing the system to find a way to stabilize it. Or maybe do recreate a golf cart, where if the cart tips over, it's game over.
Ответитьday before this video turns 1 year old 🎉🎉🥳🥳
Ответить"Genetic algorithm always cheat."
The most valuable lesson learnt in this video
I used to play that old freely available bridge builder game at school as a kid. My solutions looked like the AI thumbnail but hey, they worked!
Ответить$100.000!!!???
BTW, BRIDGE LIKE THAT IS NOT ORIGINAL
TRUSS BRIDGE DESIGN IS ALREADY EXIST IN 1820
89.9k sub!
ОтветитьIstg these ais taking virtual magic engineer's jobs
ОтветитьVery cool but I really do think AI is the scam of the decade. Imagine if some actual company claimed using AI to build an actual bridge; Knowing it's just this waste of time and energy exercise of automatic trial and error, I'd much rather pay twice as much to engineers who'd reason about decisions they make rather than just tweaking knobs on a simulation program
Ответитьshout out to the people who got the architect joke
Ответитьcant play the game but can waste too much hours and days to make an ai to beat the game
ОтветитьAs a student who learned about Genetic Algorithyms it always amazes me how hard it is to define reward function so the "AI" completes the task. Sometimes It takes more human inteligence to tell AI what to do than the intelligence the AI can reach
ОтветитьYou should look into Frida, it's a Python package that allows to inject hooks into executables for specific calls or values. Basically CheatEngine on steroids with a scriptable API. You could interact with PolyBridge's engine directly (ie. for fitness calculation) instead of having to reproduce it.
Not an easy tool to master but you may save a few days by spending a many months learning to use it!
Wait, thats all? I thought you´ll use that to actually play the game. Thats bummer but oh well.
ОтветитьI have an exam tomorrow about genaric algorithms and i saw this video. I hope it will help me.
ОтветитьAI is kinda limited to its code, it doesn't change it
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