Coding Challenge #100: Neuroevolution Flappy Bird - Part 5

Channel:

The Coding Train

Subscribers:

1,740,000

Published on April 24, 2018 2:18:41 PM ● Video Link: https://www.youtube.com/watch?v=U9wiMM3BqLU

Game:

Flappy Bird (2013)

Duration: 19:28

38,536 views

787

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:
🕹️ Neuroevolution Flappy Bird: https://editor.p5js.org/codingtrain/sketches/wb-QHVXBq
🕹️ Neuroevolution Flappy Bird -- Part 5: https://editor.p5js.org/codingtrain/sketches/iyPZnViI9
🕹️ Flappy Bird - Improved code: https://editor.p5js.org/codingtrain/sketches/T_cecG2MD

Other Parts of this Challenge:
📺 Neuroevolution Flappy Bird - Part 1: https://youtu.be/c6y21FkaUqw
📺 Neuroevolution Flappy Bird - Part 2: https://youtu.be/YtRA6tqgJBc
📺 Neuroevolution Flappy Bird - Part 3: https://youtu.be/3lvj9jvERvs
📺 Neuroevolution Flappy Bird - Part 4: https://youtu.be/HrvNpbnjEG8

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

References:
💻 TensorFlow.js: https://js.tensorflow.org/
💻 ml5.js: https://github.com/ml5js
💻 JS Neural Network: https://github.com/CodingTrain/Toy-Neural-Network-JS/
💻 Flappy Bird Clone: https://github.com/CodingTrain/Flappy-Bird-Clone
💻 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:
🔴 Coding Train Live 133: https://youtu.be/emjv5tr-m7Q?t=2984s

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 5 of Flappy Bird--Save/Load a Bird
6:42 Use SaveJSON to save the weights of the neural network
9:39 Save the weights of the best bird
10:41 Remove genetic algorithm and load the neural network of the best bird
15:23 Load a "good" and a "bad" bird and compare their collisions
17:28 Conclusion and possibilities for refinements

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

🚂 Website: http://thecodingtrain.com/
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🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥 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

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