# AutonomousMerging.jl

**Repository Path**: erichong007/AutonomousMerging.jl

## Basic Information

- **Project Name**: AutonomousMerging.jl
- **Description**: forked
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-02
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AutonomousMerging.jl

[![Build Status](https://travis-ci.org/sisl/AutonomousMerging.jl.svg?branch=master)](https://travis-ci.org/sisl/AutonomousMerging.jl)
[![Coverage Status](https://coveralls.io/repos/github/sisl/AutonomousMerging.jl/badge.svg?branch=master)](https://coveralls.io/github/sisl/AutonomousMerging.jl?branch=master)
[![](https://img.shields.io/badge/docs-latest-blue.svg)](https://sisl.github.io/AutonomousMerging.jl/latest)

Maintainer: Maxime Bouton (boutonm@stanford.edu)

This code base implements an autonomous merging scenario using [POMDPs.jl](https:://github.com/JuliaPOMDP/POMDPs.jl)
and [AutomotiveDrivingModels.jl](https://github.com/sisl/AutomotiveDrivingModels.jl) described in the paper:
M. Bouton, A. Nakhaei, K. Fujimura, M. J. Kochenderfer, "Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic," in *IEEE Conference on Intelligent Transportation Systems (ITSC)*, 2019. [ArXiv](https://arxiv.org/abs/1906.11021)

<img src="demo.gif" width="700"/>

## Installation

To install this julia package, add the JuliaPOMDP registry and the sisl registry:
```julia
using Pkg 
Pkg.add("POMDPs")
using POMDPs
POMDPs.add_registry() 
Pkg.Registry.add(RegistrySpec(url="https://github.com/sisl/Registry"))
Pkg.add("AutonomousMerging")
```


## Folder structure

- `src`: the source code containing the MDP definition, the C-IDM model definition, some feature extraction helpers,
  as well as some rendering helpers
- `test`: the tests run by Travis are defined in `runtests.jl`. The other file are interactive tests for debugging using visualizations.
- `scripts`: contains training, simulation, and analysis scripts


## Documentation

All the objects exported by the package have docstring that can be consulted using the julia command `?`.
For further documentation we refer the user to [POMDPs.jl](https:://github.com/JuliaPOMDP/POMDPs.jl)
and [AutomotiveDrivingModels.jl](https://github.com/sisl/AutomotiveDrivingModels.jl)