9/20/2023 0 Comments Python starcraft downloadLearnt models can be loaded using the checkpoint_path parameter, after which the learning will proceed from the corresponding timestep. The directory corresponding each run will contain models saved throughout the experiment, each within a folder corresponding to the number of timesteps passed since starting the learning process. Models will be saved in the result directory, under the folder called models. The frequency of saving models can be adjusted using save_model_interval configuration. You can save the learnt models to disk by setting save_model = True, which is set to False by default. Saving and loading learnt models Saving models The previous config files used for the SMAC Beta have the suffix _beta. ![]() ![]() Bash run.sh $GPU python3 src/main.py -config=qmix -env-config=sc2 with env_args.map_name=2s3zĪll results will be stored in the Results folder.
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