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Hello. Thank you for your amazing work. I appreciate the efforts to provide a unified library of MARL algorithms and environments for benchmarking and reproducibility. To better achieve this goal, I s…
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您好，非常感谢你的代码，请问我想使用baseline中其他算法在该环境中训练智能体，是直接调用baselineline文件中的算法吗
Acy97 updated
2 years ago
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Hi when I run the example "" I get the following error with pymongo. Any idea on how to fix this?
Thanks in advance
:/pymarl# python3 src/main.py --config=qmix --env-config=sc2 with env_args.map…
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I'm trying to reproduce your results, but the win rate do not increase in the Corridor scenario.
(I think "dfop" means MACPF)
I haven't changed your code at all, and in the code of the version you u…
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I find it quite hard to reproduce your results using your default hyperparameters in maps such as MMM2, is there any suggestion for tuning the hyperparamters?
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I can't re-produce the reduce with the parameters shown in your paper, is there some other details?
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I met the problem when run `bash run.sh $GPU python3 src/main.py --config=qmix --env-config=sc2 with env_args.map_name=2s3z`.
`Launching container named 'zkg_pymarl_GPU_python3_XIdE' on GPU 'python…
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Hi, I can successfully run qmix experiment
```
bash run.sh $GPU python3 src/main.py --config=qmix --env-config=sc2 with env_args.map_name=2s3z
```
but errors occurred when I replace qmix with co…
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Thank you for sharing!!
Using colored RWARE environment, I want to ask how to load and visualize trained models on colored rware
```
import gym
env = gym.make("rware-1color-tiny-4ag-v1", sen…
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When I run main.py, it occurs that:
(pymarl) D:\star\pymarl>python src/main.py --config=qmix --env-config=sc2 with env_args.map_name=2s3z
[DEBUG 14:29:26] git.cmd Popen(['git', 'version'], cwd=D…