Karan36k/aicar
massivefil.com - AIcar is a re-enforcement learning representation inside a canvas. The car learns by making mistakes. Higher the generation, more the car learns from a random generated map.
This project lets you observe how an AI car learns to navigate a randomly generated track by trial and error. You provide the car with a track, and it attempts to drive, learning from each mistake it makes. The more generations it runs, the better it becomes at staying on the road. This is for anyone curious about how basic reinforcement learning works in a visual, interactive way.
No commits in the last 6 months.
Use this if you want to visually understand the fundamentals of reinforcement learning through a simple, engaging simulation.
Not ideal if you're looking for a tool to develop or test complex AI models, or for practical applications in robotics or autonomous driving.
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17
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5
Language
JavaScript
License
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Category
Last pushed
Oct 21, 2021
Commits (30d)
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