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hpo

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Staged, reproducible RL hyperparameter search for Isaac Lab + skrl: declare a task in one YAML, run screen → refine → verify with fair canonical evals, live early-stop of dead runs, shared-GPU guards and termination-cause reports. A winner only counts after it reproduces.

  • Updated Aug 4, 2026
  • Python

Pythonic, type-safe search space configuration for HPO (hyperparameter optimization), NAS (neural architecture search), and ML experiment tracking. Define complex search spaces with conditional parameters, automatic validation, and zero boilerplate. Pydantic-based, Optuna-ready to nail hyperparameter tuning.

  • Updated Oct 29, 2025
  • Python

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