feat: adapted simulate to trained config
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4 changed files with 334 additions and 30 deletions
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# Path to the trained model (optional)
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model_path: null
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# Type of model to use if no path is provided (e.g., random)
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model_type: "random"
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# Execution backend (MJX or BRAX)
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backend: "MJC"
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# Script behavior
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headless: false
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# In headless mode this is required; in viewer mode null means "infinite".
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max_steps: null
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# Optional: path to the Hydra config.yaml used during training.
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# When set, scripts/simulate.py will use it to default morphology/arena/environment/architecture
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# to match training (unless you explicitly override those keys via CLI).
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trained_config_path: null
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