SUMO-Reinforcement-Learning

Basic RL implementation done in SUMO

Table of Contents

• General Info
• Technologies Used
• Features
• Screenshots
• Setup
• Usage
• Project Status
• Room for Improvement

General Information

• Basic SUMO RL implementation

Technologies Used

• gym>=0.26
• pettingzoo==1.20.1
• numpy
• pandas
• pillow
• sumolib>=1.14.0
• traci>=1.14.0
• pyvirtualdisplay

Features

Update here

Screenshots

Setup

• Install SUMO latest version
• set SUMO_HOME variable
• Install SUMO-RL

Usage

Use this command to run the experiment, change the required parameters from the py file.

python experiments/ql_single-intersection.py

Project Status

Project is: in progress

Room for Improvement

Room for improvement:

To do: