Skip to content

Latest commit

 

History

History
47 lines (30 loc) · 930 Bytes

File metadata and controls

47 lines (30 loc) · 930 Bytes

Multi-Agent Reinforcement Learning

This tutorial is a simple adaptation of this MARL tutorial. All credits are due to the original author.

Run this code

On Linux

Using uv (recommended)

Install uv:

curl -LsSf https://astral.sh/uv/install.sh | sh

From the root directory of this project, run:

uv sync
uv run jupyter-notebook

Using python virtual environments

From the root directory of this project, run:

python -m venv .venv
source .venv/bin/activate

You should see (.venv) on your shell. Now run:

pip install .
jupyter-notebook

On Windows

Use Google Colab.

On Google Golab

Open Google Colab and log in / sign up.

Upload MARL_tutorial.ipynb and run the code (remember to uncomment the first two cells).