{
  "seed": 2086,
  "mechanism": {
    "identity_max_abs_error": 4.263256414560601e-14,
    "factor_identity_max_abs_error": 4.797551245161458e-14,
    "disturbance_sweep": [
      {"std": 0.0, "max_error": 3.552713678800501e-14},
      {"std": 0.1, "max_error": 4.263256414560601e-14},
      {"std": 0.5, "max_error": 4.973799150320701e-14},
      {"std": 1.0, "max_error": 4.263256414560601e-14},
      {"std": 2.0, "max_error": 4.973799150320701e-14},
      {"std": 4.0, "max_error": 4.263256414560601e-14}
    ],
    "inverse_gain_noise_sweep": {
      "mean_abs_z": 4.352920169020208,
      "rows": [
        {"q_error_std": 0.01, "observed_mae": 0.03486036026051096, "predicted_mae": 0.034782},
        {"q_error_std": 0.03, "observed_mae": 0.10369104797490225, "predicted_mae": 0.104346},
        {"q_error_std": 0.06, "observed_mae": 0.20862916908206103, "predicted_mae": 0.208692},
        {"q_error_std": 0.12, "observed_mae": 0.4154603849890187, "predicted_mae": 0.417384},
        {"q_error_std": 0.24, "observed_mae": 0.8331213634687362, "predicted_mae": 0.834768}
      ],
      "note": "Predicted MAE uses std*E|z|*sqrt(2/pi) for Gaussian q error."
    }
  },
  "offline_action_imitation": {
    "mlp_rmse_mae": [0.5011866092681885, 0.3038865327835083],
    "gru_rmse_mae": [0.5548794865608215, 0.3636118769645691],
    "structured_gru_rmse_mae": [0.5133934617042542, 0.31270310282707214]
  }
}