1{
 2  "math_check": {
 3    "gamma": [
 4      0.0,
 5      0.05,
 6      0.1,
 7      0.2,
 8      0.4
 9    ],
10    "variance_slope_observed": [
11      0.0,
12      0.09999999999999999,
13      0.19999999999999998,
14      0.39999999999999997,
15      0.7999999999999999
16    ],
17    "variance_slope_predicted_2gamma": [
18      0.0,
19      0.1,
20      0.2,
21      0.4,
22      0.8
23    ],
24    "euler_excess_variance_observed": [
25      -1.1102230246251565e-16,
26      3.124999997669922e-07,
27      1.2499999998433903e-06,
28      4.999999999925203e-06,
29      1.9999999999693874e-05
30    ],
31    "euler_excess_variance_predicted": [
32      0.0,
33      3.125e-07,
34      1.25e-06,
35      5e-06,
36      2e-05
37    ],
38    "identity_abs_errors": [
39      1.3877787807814457e-17,
40      5.551115123125783e-17,
41      1.1102230246251565e-16
42    ],
43    "zero_gamma_correction": -1.1102230246251565e-16
44  },
45  "controller_experiment": {
46    "device": "cuda",
47    "amortized_pretraining_seconds": 97.4223108291626,
48    "amortized_mean_cost": 0.728020585840568,
49    "amortized_mean_mean_error": 0.05318319221260026,
50    "amortized_mean_variance_error": 0.08519219467416406,
51    "independent_90step_mean_cost": 0.3131400402635336,
52    "independent_mean_error": 0.01835873955860734,
53    "independent_variance_error": 0.004139695316553116,
54    "independent_seconds_per_task": 11.918880552053452,
55    "note": "Costs are direct Monte Carlo rollout objectives; no target trajectories are used."
56  }
57}