implementation of MADDPG using PyTorch and multiagent-particle-envs
training and evaluation is simple and straightforward, take simple_spread for example:
python main.py simple_spread # training
python evaluate.py simple_spread # evaluationmore 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_spread |  |
 |
| simple_tag |  |
 |
-
stop print info while rendering
comment
line 213inmultiagent-particle-envs\multiagent\environment.py -
ImportError: cannot import name 'prng' from 'gym.spaces'after install multiagent-particle-envs, install an older version of gym
pip uninstall gym pip install gym==0.10.5