Coding Challenge #100: Neuroevolution Flappy Bird - Part 3

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Published on ● Video Link: https://www.youtube.com/watch?v=3lvj9jvERvs



Game:
Duration: 13:09
45,403 views
998


In this challenge, I use my JavaScript neural network library and a genetic algorithm to train an agent to play Flappy Bird. Code: https://thecodingtrain.com/challenges/100-neuroevolution-flappy-bird

p5.js Web Editor Sketches:
đŸ•šī¸ Neuroevolution Flappy Bird: https://editor.p5js.org/codingtrain/sketches/wb-QHVXBq
đŸ•šī¸ Neuroevolution Flappy Bird -- Part 5: https://editor.p5js.org/codingtrain/sketches/iyPZnViI9
đŸ•šī¸ Flappy Bird - Improved code: https://editor.p5js.org/codingtrain/sketches/T_cecG2MD

Other Parts of this Challenge:
đŸ“ē Neuroevolution Flappy Bird - Part 1: https://youtu.be/c6y21FkaUqw
đŸ“ē Neuroevolution Flappy Bird - Part 2: https://youtu.be/YtRA6tqgJBc
đŸ“ē Neuroevolution Flappy Bird - Part 4: https://youtu.be/HrvNpbnjEG8
đŸ“ē Neuroevolution Flappy Bird - Part 5: https://youtu.be/U9wiMM3BqLU

đŸŽĨ Previous video: https://youtu.be/KtPpoMThKUs?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
đŸŽĨ Next video: https://youtu.be/fUkF-YLLXeg?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
đŸŽĨ All videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH

References:
đŸ’ģ TensorFlow.js: https://js.tensorflow.org/
đŸ’ģ ml5.js: https://github.com/ml5js
đŸ’ģ JS Neural Network: https://github.com/CodingTrain/Toy-Neural-Network-JS/
đŸ’ģ Flappy Bird Clone: https://github.com/CodingTrain/Flappy-Bird-Clone
đŸ’ģ Neuroevolution documentation: https://github.com/shiffman/NOC-S18/tree/master/week10

Videos:
🚂 Coding Challenge #31: Flappy Bird: https://youtu.be/cXgA1d_E-jY
🚂 My Genetic Algorithm playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV
🚂 My Neural Networks playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh

Live Stream Archive:
🔴 Code Train Live 132: https://youtu.be/ipMekhLS2M0?t=7228s

Related Coding Challenges:
🚂 #29 Smart Rockets in p5.js: https://youtu.be/bGz7mv2vD6g
🚂 #31 Flappy Bird: https://youtu.be/cXgA1d_E-jY
🚂 #41 Clappy Bird: https://youtu.be/aKiyCeIuwn4

Timestamps:
0:00 Part 3 of Flappy Bird--More Improvements
0:56 Separate the game logic from the drawing
2:22 Add a slider to control the number of cycles
5:38 Mutate the fitness score by a random Gaussian number
7:09 Conclusion and possible ways to optimize the genetic algorithm

Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound

🚂 Website: http://thecodingtrain.com/
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đŸŽĨ Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
đŸŽĨ Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA

🔗 p5.js: https://p5js.org
🔗 p5.js Web Editor: https://editor.p5js.org/
🔗 Processing: https://processing.org

📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct

This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new

#neuralnetwork #reinforcementlearning #geneticalgorithm #evolution #flappybird #javascript #p5js







Tags:
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daniel shiffman
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Other Statistics

Flappy Bird Statistics For The Coding Train

At present, The Coding Train has 1,474,832 views spread across 8 videos for Flappy Bird, and about 8 hours worth of Flappy Bird videos were uploaded to his channel. This is less than 0.84% of the total video content that The Coding Train has uploaded to YouTube.