Machine learning - balancing a stack of balls
A genetic algorithm is used to train a neural network controller to balance a stack of balls by applying a lateral force and a torque to the bottom ball. The capsim physics engine is used to produce a realistic simulation for each attempt. It can learn up to 4 balls.
http://www.youtube.com/watch?v=c4vADjwOFNc
Citation pour cette source
Peter Bone (2024). Machine learning - balancing a stack of balls (https://www.mathworks.com/matlabcentral/fileexchange/36911-machine-learning-balancing-a-stack-of-balls), MATLAB Central File Exchange. Extrait(e) le .
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- AI and Statistics > Statistics and Machine Learning Toolbox >
- AI and Statistics > Deep Learning Toolbox > Sequence and Numeric Feature Data Workflows >
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Inspiré par : CapSim - the MATLAB physics engine, export_fig
A inspiré : Machine learning - PushBall game
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Version | Publié le | Notes de version | |
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1.2.0.0 | Video link |
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1.1.0.0 | Acknowledgements |
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1.0.0.0 |