STL-Robust Mixture-of-Experts Gating / results.json

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 1{
 2  "seed": 1448,
 3  "math_checks": {
 4    "odds_slope_observed": 1.2999999999999996,
 5    "odds_slope_predicted": 1.3,
 6    "odds_max_abs_identity_error": 8.881784197001252e-16,
 7    "boundary_beta_observed": 1.5,
 8    "boundary_beta_predicted": 1.5,
 9    "boundary_abs_error": 0.0,
10    "beta0_max_transition_difference": 0.0,
11    "beta0_sweep_scales": [
12      0.0,
13      0.5,
14      1.0,
15      3.0,
16      10.0
17    ],
18    "beta0_sweep_max_errors": [
19      0.0,
20      0.0,
21      0.0,
22      0.0,
23      0.0
24    ],
25    "predictions_confirmed": true
26  },
27  "mini_experiment": {
28    "n_episodes": 160,
29    "one_step_mse": {
30      "baseline": 0.025127682580169907,
31      "stl": 0.0252477885589946
32    },
33    "rollout_50_mse": {
34      "baseline": 3.115207491006956,
35      "stl": 3.5306199564239877
36    },
37    "mode2_selection_rate": {
38      "baseline": 0.43125,
39      "stl": 0.20625
40    },
41    "beta_sweep_same_protocol": {
42      "0.0": {
43        "one_step_mse": 0.027298106786175846,
44        "mode2_selection_rate": 0.41875
45      },
46      "0.5": {
47        "one_step_mse": 0.025657513167276536,
48        "mode2_selection_rate": 0.40625
49      },
50      "1.0": {
51        "one_step_mse": 0.02570714521150827,
52        "mode2_selection_rate": 0.39375
53      },
54      "2.8": {
55        "one_step_mse": 0.02604671855802617,
56        "mode2_selection_rate": 0.175
57      },
58      "5.0": {
59        "one_step_mse": 0.025344349841651525,
60        "mode2_selection_rate": 0.0375
61      }
62    },
63    "robustness_beta": 2.8,
64    "note": "Synthetic fixed expert dynamics; no learned parameters or training loop."
65  }
66}