Комментарии:
Nice code bullet video
ОтветитьHe doesn't have enough time he said.
ОтветитьThis is like a mix of code bullet and real civil engineer😂😂 you got a new sub
ОтветитьSo you didnt have the time to do it yourself so you used the time that you DIDNT have to make an ai to do the thing you DIDNT have the time to do
ОтветитьI know AI doesn't have emotions, but for this survival of the fittest thing it makes sense they would cheat. Sure, you're not going to win, but you'll live.
ОтветитьThe reward function ends up being as complex as just solving the problem without AI, lol.
ОтветитьThank you!
Very interesting.
-1 for c#
Ответитьa follow up video on this but it minimized stress would be really interesting
ОтветитьYour fitness function could have been based on three things: the changes to the road pieces (max distance change, max angle change) and the max distance change of the balls. Also you should have randomized ball size. With keeping the ball as level as possible the main goal. This will help avoid jumps, hills, swings, and dips. If you’re given a straight path of road joints and told to keep it as level as possibly by only adding bridge connections etc.
ОтветитьAstro make your own operating system
ОтветитьWhile watching Matt(@RealCivilEngineerGaming) tweaking his bridges I thought I'd be cool to replace Matt with genetic algorithm. I don't even thing neural network is required for that.
Basically we can give the bridge (with suboptimal but working design) to the computer and ask it to move joints around until it'd land on the cheapest possible bridge without structural modification. That would drastically speed up the search (compared to generating the bridge from scratch) and hopefully show what the design actually is capable of.
And implementing it as a mod/plugin for the original game would be absolutely cool but i have no idea how hard would it be to integrate such thing into the game.
Are there any games that have AI agents trained like this? I was thinking of adding predator / prey entities into my game and have the predator rewarded by enemies eaten, and the prey rewarded by time survived
Ответить"I dont have enough time to play the game so il make a new version of it from scratch"
Ответитьamazin gg
Ответить"It isn't the solution we wanted" I instantly thought "It is the solution you deserved." :)
ОтветитьI would love to see a part 2. Maybe try solving some actual levels with the algorithm and seeing if it would work?
ОтветитьSo Its not working correctly, its not working for poly bridge and its clickbait. Super cool video bro
ОтветитьI once heard that an algorithm had been designed to assist in choosing the most efficient route for a road across London. When the program was tested, it came up with an answer in less time than expected - straight down the river.
Ответить