How to load model and visualize results about epymarl HOT 6 OPEN

I have the same question. Can someone tell me how to visualize the experimental environment? Thank you very much.

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I have the same question. Can someone tell me how to visualize the experimental environment? Thank you very much.

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From README:

Learnt models can be loaded using the checkpoint_path parameter, after which the learning will proceed from the corresponding timestep.

So I guess something like this:
python3 src/main.py --config=mappo --env-config=gymma with env_args.key="rware-1color-tiny-4ag-v1" checkpoint_path="/PATH_TO_MODEL"
You probably need to wrap the env around a render wrapper too, and make batch_run_size=1 so that you don't get multiple windows at a time.

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Yeah, same question from me - I posted a similar question a few days ago before I saw this. It looks like rendering is not currently implemented for non-sc2 environments. From my search it looks like the save_reply method needs to be manually implemented or a render flag will need to be added to the config and within the runner code. Hoping I'm wrong though and there's an out-of-the-box solution that I'm just missing

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I'm trying to run MAPPO or IPPO with sc2 environment but I couldn't figured out how to specify the maps.
I already us pymarl and run the algorithms with this code:

python3 src/main.py --config=qmix --env-config=sc2 with env_args.map_name=2s3z

I want to run epymarl with MAPPO or IPPO algorithms with the same map 2s3z from sc2. could any one help me with that?
I'm using this code:

python3.7 src/main.py --config=mappo --env-config=sc2 with env_args.time_limit=25 env_args.key="SMAC:2s3z"

I get this error:

sacred.utils.ConfigAddedError: Added new config entry that is not used anywhere
Conflicting configuration values:
env_args.key=SMAC:2s3z

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python src/main.py --config=qmix --env-config=gymma with env_args.time_limit=25 env_args.key="mpe:SimpleSpeakerListener-v0" checkpoint_path="your path" evaluate=True render=True

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