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