該視頻顯示了Neat Neural Network AI進化了超過60代的19個基因組。 黑船使用手動調整的PID控制箔角，而白船則使用整潔的AI。 健身度是通過假設箔紙使船隻走得更快從而覆蓋更多空間的方式，在模擬的1個虛擬分鐘內使船隻達到距離的程度來分配的。 模擬的原始總時間約為18分鐘。 仍有許多工作要做，但至少這顯示出一些希望。 ＃獨立遊戲#rustlang＃帆船＃製作#ai＃整潔#neuralnetwork。
航行模擬器-NEAT神經網路AI進化加速
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I wonder if there is any way to give them some useful information about an upcoming wave crest. I guess that is pretty hard/expensive.
Very cool to see
Veramente impressionante. Ma in questo modo la IA è capace di migliorare """all'infinito"" arrivando al punto di essere praticamente imbattibile, o per qualche motivo può anche regredire?
Seconda cosa, in questo modo la IA continuerebbe ad "imparare" ed evolvere anche una volta arrivata sui nostri PC, o la fase di apprendimento può essere fermata (da in fase di sviluppo quindi)?
Does every boat after every run have the same knowledge as all the others? If yes, then it seems weird to me that there still is so much difference between them. I've got a feeling this NEAT wants to go as close as possible to the limit, but only a bit over the limit gives a nose dive. That in combination with the irregularity of the waves, makes a lot of them nosedive. They are always aiming for the 100%, and from what I understood from your livestream about this, there isn't really a way to get them to aim for 90% for example to limit mistakes, or to make it slower for slower sailors.
Like always though, I am probably wrong as I have 0 knowledge of programming, let alone AI 😛
Neat! 😛
Awesome! How does it work? Did you use reinforcement learning?