The code implementation for MFC-EQ: Mean Field Control with Envelope Q-learning for Moving Decentralized Agents in Formation.

Dependencies Create the virtual environment and install the required packages.

conda create -n mfceq python=3.10
pip install -r requirement.txt
conda activate mfceq

Benchmarks Generate the test set used for evaluation.

cd benchmarks
python create_test.py

python train.py

python evaluate.py --load_from_dir path/to/dir

If you have any questions or issues, please contact me through this email, qiushi_lin@sfu.ca.