The original version of MADDPG use environment of multiagent-particle-envs, which has no longer been updated. A maintained version of these environments is provided by PettingZoo. So this repository implement MADDPG using PyTorch and PettingZoo
training and evaluation is simple and straightforward, take simple_tag for example:
python main.py simple_tag_v2 # training
python evaluate.py simple_tag_v2 1 # evaluate result saved in folder 1more details about arguments can be found in main.py, evaluate.py
or simply run python main.py --help, python evaluate.py --help
| environment name | training result | evaluation result |
|---|---|---|
| simple_adversary |  |
 |
| simple_tag |  |
 |
- implementation of openai
- implementation of shariqiqbal2810
- maddpg-mpe-pytorch