Skip to content

Latest commit

 

History

History
21 lines (18 loc) · 408 Bytes

README.md

File metadata and controls

21 lines (18 loc) · 408 Bytes

Multi-Agent-Unity

Distributed RL algorithms developed on Multi-Agent gym wrapper for unity environment

Environment

You can use either conda or docker

docker

cd docker
bash build.sh
docker run -it -v ${path to the code in your computer}:/unity unity:1.0 bash
cd /unity
python training.py

conda

conda env create -f environment.yml
conda activate unity
python training.py