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Hi! I'm glad to see the latest upgrade of MARLlib with update to date document. But I'm a bit confused about the relationship of these Api-based usage with previous console-based usage. So, I want to make sure something:
I don't see the main.py anymore, does this mean that the console-based usage is completely deprecated?
Besides the change of usage, is there any algorithm related improvement? (Is there a detailed version info?)
What is the relationship between previously required 4 config file and the new Api? Also, it seems like there are some new configurations, for example:
# build agent model based on env + algorithms + user preferencemodel=marl.build_model(env, mappo, {"core_arch": "mlp", "encode_layer": "128-256"})
# start trainingmappo.fit(env, model, stop={"timesteps_total": 1000000}, checkpoint_freq=100, share_policy="group")
Is there a full document of what exactly can be configured? Or should I just refer to Ray's document?
The text was updated successfully, but these errors were encountered:
Hi! I'm glad to see the latest upgrade of MARLlib with update to date document. But I'm a bit confused about the relationship of these Api-based usage with previous console-based usage. So, I want to make sure something:
main.py
anymore, does this mean that the console-based usage is completely deprecated?Is there a full document of what exactly can be configured? Or should I just refer to Ray's document?
The text was updated successfully, but these errors were encountered: