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Idle Machine Learning
oleh Vashgard
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Idle Machine Learning
Tag untuk Idle Machine Learning
Deskripsi
-Yang pertama- (NeuroDriver oleh Sem23 sebelumnya) Game idle berbasis algoritma machine learning! Biarkan komputermu belajar mengendarai sepeda balap, saat sudah bisa menyelesaikan balapan kamu bisa terus mengembangkannya untuk bersaing meraih waktu terbaik! Peringatan, ini game pertama yang saya buat .;.
Cara Bermain
Bagaimana cara kerja Machine learning? Akan dibuat gelombang motor, masing-masing membuat keputusan ACAK berdasarkan sensornya. Salah satu akan menjadi yang membuat keputusan terbaik dan menempuh jarak terjauh sebelum menabrak. Kamu harus menunggu 3 detik antar gelombang (Bisa dikurangi dengan skill "gen. Time"). Gelombang berikutnya akan meniru keputusan motor terbaik dari gelombang sebelumnya, tapi dengan sedikit perubahan ACAK. Salah satu perubahan kecil ini bisa membuat motor melaju sedikit lebih jauh sebelum menabrak. Jika itu terjadi, seluruh grup belajar untuk gelombang berikutnya, dan seterusnya sampai mereka bisa menyelesaikan sirkuit. Semoga beruntung!
FAQ
Apa itu Idle Machine Learning?
Idle Machine Learning adalah game idle incremental yang dikembangkan oleh Vashgard, di mana kamu mensimulasikan algoritma kecerdasan buatan dan membangun model machine learning seiring waktu.
Bagaimana cara bermain Idle Machine Learning?
Di Idle Machine Learning, kamu mengotomatisasi berbagai proses machine learning, meng-upgrade aspek AI, dan mengelola sumber daya untuk mengoptimalkan model agar performanya makin baik.
Apa saja sistem progresi utama di Idle Machine Learning?
Pemain di Idle Machine Learning berkembang dengan berinvestasi pada upgrade, membuka teknik AI baru, dan meningkatkan efisiensi workflow machine learning untuk meraih skor lebih tinggi.
Apakah Idle Machine Learning punya progres offline?
Idle Machine Learning menawarkan progres offline, memungkinkan AI kamu terus belajar dan memperbaiki model meski kamu tidak sedang bermain.
Di platform apa Idle Machine Learning tersedia?
Idle Machine Learning adalah game idle berbasis browser yang bisa dimainkan gratis di browser desktop.
Pembaruan dari Developer
I sorry, sharing it’s not working >.<
I will try to fix it in a few days.
I sorry :(
Komentar
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aziz70
Nov. 25, 2018
"The next wave, will imitate the decisions of the best motorcycle of the previous wave, but with small RANDOM modifications." This should be best of all waves, not just the previous one. Your AI takes one step forward and sometimes two step back because of this.
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Slom0
Nov. 24, 2018
i find it odd that after 150 round they first of all still stear straight into the wall at the start. and after 1 or 2 making it 1,5 lap twice the forget that completely and go back to crashing all at 0,5 lap...
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I have made an update to help tp prevent it :)
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gmorker
Nov. 27, 2018
From a programmers aspect, I would really be interested in the algorith that thse bikes use to make their decisions. Currently I got 20 bikes in lvl 3. About 5 of them make it through the U turn on the top right, and then all of them crash into the wall where the 90° right run is. They all actively steer left into the wall and there is no progress after 30+ generations of wall suicide. From a learning algorith I would expect it to evolve into not making the same mistake twice... but the bikes make the same mistake a hundred times and still expect the outcome to be better the next try.
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UeberBob
Nov. 26, 2018
It would be nice if the bikes took more significantly different actions at the point just before the previous best crashed. My guys are staying tightly packed and crashing into the same point in the same wall, generation after generation, after generation, after generation...
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Sp4nkY
Nov. 24, 2018
hello buddy, I really like this game, the problem with these bikes on lvl 3 is, I have been staring at it for half an hour now and they keep turning after corner 6, straight towards the finish line instead of up where they need 2 go
I know this corner... it can take a lot of training but at the end, they can handle it. I'm thinking on make a Update to make this level more easy... :(
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