A link to our paper can be found on Arxiv.

Official codebase for Offline Pre-trained Multi-Agent Decision Transformer. Contains scripts to reproduce experiments.

It may be necessary to add the respective directories to your PYTHONPATH.

The offline smac dataset for this repo is available at here, expired.

## password is xvsma7

New download link [here](https://cowtransfer.com/s/3785a6a9e5d044)

1. setup python environment with pip install -r requirements.txt
2. to install StarCraft II & SMAC, you could run bash install_sc2.sh. Or you could install them manually to other path you like, following the official link: https://github.com/oxwhirl/smac.
3. enter the ./sc2/ folder.
4. set hyper-parameters in run_madt_sc2.py line 19-49 according to appendix.
5. select a maps to test in envs/config.py line 142
6. run the run_madt_sc2.py script

pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113^C
pip install -r requirements.txt
pip install pyOpenSSL --upgrade
pip install --upgrade pip

python3 run_madt_sc2.py
python3 run_madt_sc2.py --offline_epochs 1
python3 run_madt_sc2.py --offline_epochs 10

python3 run_rware.py
python3 run_rware.py --eval_episodes 1
python3 run_rware.py --eval_episodes 32

python3 run_robot_warehouse.py