- Feb 7 2020 - Qatten beta.
This is the source codes for paper "Qatten: A Linear Framework for Cooperative Multiagent Reinforcement Learning". It is developed based on PyMARL framework for deep multi-agent reinforcement learning. PyMARL is written in PyTorch and uses SMAC as its environment.
- Install SMAC environment (see https://github.com/oxwhirl/smac)
- Install PyMARL framework (see https://github.com/oxwhirl/pymarl)
- Install Nvidia Docker (see https://github.com/NVIDIA/nvidia-docker)
- Build the Dockerfile using
cd Qatten
cd docker
bash build.sh
Set up StarCraft II and SMAC maps--copy from pymarl:
cp -r YOURPATH/pymarl/3rdparty YOURPATH/Qatten
or install again
bash install_sc2.sh
To run experiments using the Docker container:
bash run.sh $GPU python3 src/main.py --config=qatten --env-config=sc2 with env_args.map_name=2s3z
The config files act as defaults for an algorithm or environment.
They are all located in src/config
.
--config
refers to the config files in src/config/algs
--env-config
refers to the config files in src/config/envs
All results will be stored in the Results
folder.
You can save the learnt models to disk by setting save_model = True
, which is set to False
by default. The frequency of saving models can be adjusted using save_model_interval
configuration. Models will be saved in the result directory, under the folder called models. The directory corresponding each run will contain models saved throughout the experiment, each within a folder corresponding to the number of timesteps passed since starting the learning process.
Learnt models can be loaded using the checkpoint_path
parameter, after which the learning will proceed from the corresponding timestep.
save_replay
option allows saving replays of models which are loaded using checkpoint_path
. Once the model is successfully loaded, test_nepisode
number of episodes are run on the test mode and a .SC2Replay file is saved in the Replay directory of StarCraft II. Please make sure to use the episode runner if you wish to save a replay, i.e., runner=episode
. The name of the saved replay file starts with the given env_args.save_replay_prefix
(map_name if empty), followed by the current timestamp.
The saved replays can be watched by double-clicking on them or using the following command:
python -m pysc2.bin.play --norender --rgb_minimap_size 0 --replay NAME.SC2Replay
Note: Replays cannot be watched using the Linux version of StarCraft II. Please use either the Mac or Windows version of the StarCraft II client.