Coding Challenge #100: Neuroevolution Flappy Bird - Part 2
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:
๐น๏ธ Neuroevolution Flappy Bird: https://editor.p5js.org/codingtrain/sketches/wb-QHVXBq
๐น๏ธ Neuroevolution Flappy Bird -- Part 5: https://editor.p5js.org/codingtrain/sketches/iyPZnViI9
๐น๏ธ Flappy Bird - Improved code: https://editor.p5js.org/codingtrain/sketches/T_cecG2MD
Other Parts of this Challenge:
๐บ Neuroevolution Flappy Bird - Part 1: https://youtu.be/c6y21FkaUqw
๐บ Neuroevolution Flappy Bird - Part 3: https://youtu.be/3lvj9jvERvs
๐บ Neuroevolution Flappy Bird - Part 4: https://youtu.be/HrvNpbnjEG8
๐บ Neuroevolution Flappy Bird - Part 5: https://youtu.be/U9wiMM3BqLU
๐ฅ Previous video: https://youtu.be/KtPpoMThKUs?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
๐ฅ Next video: https://youtu.be/fUkF-YLLXeg?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
๐ฅ All videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
References:
๐ป TensorFlow.js: https://js.tensorflow.org/
๐ป ml5.js: https://github.com/ml5js
๐ป JS Neural Network: https://github.com/CodingTrain/Toy-Neural-Network-JS/
๐ป Flappy Bird Clone: https://github.com/CodingTrain/Flappy-Bird-Clone
๐ป Neuroevolution documentation: https://github.com/shiffman/NOC-S18/tree/master/week10
Videos:
๐ Coding Challenge #31: Flappy Bird: https://youtu.be/cXgA1d_E-jY
๐ My Genetic Algorithm playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV
๐ My Neural Networks playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh
Live Stream Archive:
๐ด Codig Train Live 132: https://youtu.be/ipMekhLS2M0?t=4975s
Related Coding Challenges:
๐ #29 Smart Rockets in p5.js: https://youtu.be/bGz7mv2vD6g
๐ #31 Flappy Bird: https://youtu.be/cXgA1d_E-jY
๐ #41 Clappy Bird: https://youtu.be/aKiyCeIuwn4
Timestamps:
0:00 Part 2 of Flappy Bird--Incorporate a genetic algorithm
2:00 Make a population of birds
4:10 Delete a bird if it hits a pipe
5:57 Write a function for the next generation
7:58 Evaluate the fitness value for each bird
11:55 Pick a new bird
17:35 Write a mutate function
21:06 Pick a new bird based on its fitness
28:03 Conclusion and next steps
Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound
๐ Website: http://thecodingtrain.com/
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๐ฅ Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
๐ฅ Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
๐ p5.js: https://p5js.org
๐ p5.js Web Editor: https://editor.p5js.org/
๐ Processing: https://processing.org
๐ 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
Other Videos By The Coding Train
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.


