NeuroEvolution-Vehicles
NeuroEvolution-Vehicles copied to clipboard
Raw code from Live Stream May 13 2019
NeuroEvolution-Vehicles
Raw code from Live Stream May 13 2019
A neural network powered vehicle that drives around a randomly-generated path without hitting the walls.
Uses the p5.js and TensorFlow.js libraries.
https://codingtrain.github.io/NeuroEvolution-Vehicles/
To Do
- [ ] Smooth track with OpenSimplexNoise
- [ ] Improve the look of the track and cars
- [ ] Add paragraph elements displaying the simulation speed and best car stats
- [ ] Add functionality for saving/loading cars
- [ ] Add sliders to control the features of the track before it is generated, like
- difficulty
- thickness
- jaggedness
- height of jaggedness
- [ ] Add button to regenerate track
- [ ] Add fov rendering
- [ ] Add crossover
- [ ] create cool tracks with the supershape formula
Community Contributions
- [title](link to project) - [Name](optional personal link)
- Ai cars in Processing - David Snyder