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JB395 updated
5 years ago
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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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First of all, thank you for your excellent code.
Regarding the evaluation of the qmix, I have a question: Since the length of the episode of the sc2 environment is not fixed, the increase of `time_…
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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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Could you tell me the pytorch version ???Because, I think that couse this error.
I use :
torch 1.7.1
torchvision 0.8.2
[INFO 22:03:34] my_main Saving models to results/mod…
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Hi, I'm hoping you can help me debug what seems like a simple error. I'm on a Windows machine and I tried running the example experiment:
`python src/main.py --config=qmix --env-config=sc2 with env…
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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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Are there any demos that can illustrate the process of using MATD3 / MADDPG to process discrete actions?
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I pip installed the dependencies from```requirements.txt``` of PYMARL on python3.6 and I don't think there is a problem with dependencies, but I keep receiving the following error when I run the exper…