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Home Reinforcement Learning
SampleFactory_ViZDoom

SampleFactory_ViZDoom

Tech Trends Watcher by Tech Trends Watcher
5 August 2024
in Reinforcement Learning
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  • Downloading the model
    • Using the model
      • Training with this model

        A(n) APPO model trained on the doom_health_gathering_supreme environment.

        This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
        Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/





        Downloading the model

        After installing Sample-Factory, download the model with:

        python -m sample_factory.huggingface.load_from_hub -r dogukankartal/SampleFactory_ViZDoom
        





        Using the model

        To run the model after download, use the enjoy script corresponding to this environment:

        python -m <path.to.enjoy.module> --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=SampleFactory_ViZDoom
        

        You can also upload models to the Hugging Face Hub using the same script with the --push_to_hub flag.
        See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details





        Training with this model

        To continue training with this model, use the train script corresponding to this environment:

        python -m <path.to.train.module> --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=SampleFactory_ViZDoom --restart_behavior=resume --train_for_env_steps=10000000000
        

        Note, you may have to adjust --train_for_env_steps to a suitably high number as the experiment will resume at the number of steps it concluded at.

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