DrivingSchool

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DrivingSchool is a lightweight web-based 3D simulator. It is aimed at providing a simple and easy-to-use simulation environment for reinforcement learning algorithms implemented in Python for autonomous vehicles.

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# DrivingSchool

DrivingSchool is a lightweight web-based 3D simulator.It is aimed at verifying reinforcement learning algorithms for autonomous vehicles quickly.

DrivingSchool是一个轻量级的web 3D仿真软件，目标是实现无人车强化学习算法的快速验证。。

![Shot](https://raw.githubusercontent.com/Tumiz/DrivingSchool/master/doc/shot.png)

## Examples

An AI controlled vehicle run along axis x's direction, and find a way to arrive the point of (30,0) from any position on the axis x. You can see [video](https://v.youku.com/v_show/id_XNDEyMzQ1MTAwMA==.html?spm=a2hzp.8244740.0.0) for details.

## Requirements

* WebGL is supported on your web browser

## Preparation

1. Install the python web framework - tornado:

pip install tornado

2. Install the deep learning platform - pytorch from https://pytorch.org/get-started/locally/

3. Install the visualization tool - visdom:

pip install visdom

4. Download the codes of DrivingSchool:

git clone https://github.com/Tumiz/DrivingSchool.git

## Run

1. Open a terminal in any directory and run command:

visdom

1. Open an another terminal in the folder of DrivingSchool and run command:

python server.py

## Operations

DrivingSchool

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