Mati365/neural-cars
🚗 Neural network 2D cars ray collision detection using ML genetic training algorithm
This helps researchers and students understand how simple AI agents, specifically cars, can learn to navigate an environment using neural networks and genetic algorithms. You provide the simulation environment, and it shows how virtual cars evolve to avoid obstacles through trial and error. This is ideal for those studying AI, machine learning, or evolutionary algorithms.
No commits in the last 6 months.
Use this if you want to visually demonstrate or experiment with how neural networks can control basic autonomous agents and learn through genetic training in a simulated 2D environment.
Not ideal if you need to develop complex, real-world autonomous driving systems or require advanced physics simulations.
Stars
27
Forks
1
Language
JavaScript
License
MIT
Category
Last pushed
Oct 11, 2021
Commits (30d)
0
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