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A reinforcement learning environment for self-driving cars in the browser.

Home Page: https://www.metacar-project.com/

TypeScript 99.17% JavaScript 0.83%

reinforcement-learning self-driving-car autonomous-vehicles pixijs tensorflowjs browser

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env.getState: Parameters and return

Should take an object as parameters and return an object with the lidar state and additional informations about the current state of the car (speed, acc...)

Import metacar environment to python

Hello,
I'm working on a python project with Reinforcement Learning, and I found the Metacar project very useful..

The thing is that I'm still new to this domain, and I don't know javascript.
So how would I import this environment to my Python IDE?

Any help would be great

Implement multiple cars simulation with metacar

I want to know if anyone has used metacar to simulate the prevention of multiple car collisions? Or have an implemented code?

Move Pixi.js dependency to node modules

Currently, Metacar requires you to have script tag in html to import Pixi.js dependency

<script src="https://cdnjs.cloudflare.com/ajax/libs/pixi.js/4.7.1/pixi.min.js"></script>

I tried removing it and npm installing pixi.js package, but Metacar did not work:

metacar.min.js:1 Uncaught TypeError: Cannot read property 'Application' of undefined

Need to be able to install Pixi.js from npm.

See asynchrone for the training for Q learning and Policy

env.reset()

env.reset() must also reset others cars.

Wrong link to Policy Gradients code demo

Link to code example here is wrong. It should be https://github.com/thibo73800/metacar/blob/master/demo/webapp/public/js/policy_monte_carlo/policy_agent.js.

Metacar module should not bind to window object

The dist version of the module metacar.min.js looks like this:

window.metacar=function(t) {

This can be easily solved by changing the libraryTarget in webpack.config.js

var packageConfig = Object.assign({}, config, {
    output: {
        filename: 'metacar.min.js',
        path: path.resolve(__dirname, './dist'),
        library: 'metacar',
        libraryTarget: 'window',

From libraryTarget: 'window' to libraryTarget: 'commonjs'. Having window object as a target is a problem because for example it is not accessible from Web Workers.

However, there is still another issue: Pixi.js. First of all, it's in externals it really should be bundled with the module. Second of all, Metacar tries to use pixi during the import. Is pixi just used for rendering or is it core part of the game? If it is used just for rendering this problem can be solved be having two separate modes: 1. Simulations 2. Rendering. During the simulation rendering libraries should not be touched. If Pixi lies in the core of the the simulation, you can use jsdom + canvas, node-pixi, or pixi-shim to prevent it from accessing DOM during stimulation. more info: pixijs/pixijs#4771

{
moving: false|true,
speed: mph
}

Make a conversion between mph and map pixel.

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Error</title>
</head>
<body>
<pre>Cannot GET /docs/modules/_index_.html</pre>
</body>
</html>

Max Speed
Acceleration
Break
...

Render the env again after asking the question training question

If the user canceled the training, the environment is not render anymore.

https://metacar-project.com/level0.html
https://metacar-project.com/level1.html

thibo73800 / metacar Goto Github PK

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