Torque 1 prediction on SARCOS robot arm (test)
10.7RMSEAugmented
Evaluation Results
| Method | Links | |
|---|---|---|
| AugmentedNumber of training samples=502022.10 | 10.7 | |
| DirectNumber of training samples=502022.10 | 10.8 | |
| AffineTL-constNumber of training samples=502022.10 | 10.9 | |
| AffineTL-fullNumber of training samples=502022.10 | 11.1 | |
| Fine-tuneNumber of training samples=502022.10 | 11.1 | |
| L2-SPNumber of training samples=502022.10 | 11.6 | |
| AugmentedNumber of training samples=402022.10 | 11.9 | |
| DirectNumber of training samples=402022.10 | 12.2 | |
| AffineTL-constNumber of training samples=402022.10 | 12.2 | |
| AffineTL-fullNumber of training samples=402022.10 | 12.3 | |
| Fine-tuneNumber of training samples=402022.10 | 12.6 | |
| L2-SPNumber of training samples=402022.10 | 13 | |
| AugmentedNumber of training samples=302022.10 | 13.3 | |
| AffineTL-constNumber of training samples=302022.10 | 13.4 | |
| MAMLNumber of training samples=502022.10 | 13.4 | |
| DirectNumber of training samples=302022.10 | 13.7 | |
| AffineTL-fullNumber of training samples=302022.10 | 13.7 | |
| Fine-tuneNumber of training samples=302022.10 | 14.1 | |
| MAMLNumber of training samples=402022.10 | 14.4 | |
| L2-SPNumber of training samples=302022.10 | 14.5 | |
| HTL-offsetNumber of training samples=402022.10 | 15 | |
| HTL-offsetNumber of training samples=502022.10 | 15.1 | |
| AugmentedNumber of training samples=202022.10 | 15.7 | |
| DirectNumber of training samples=202022.10 | 15.8 | |
| AffineTL-fullNumber of training samples=202022.10 | 15.9 | |
| AffineTL-constNumber of training samples=202022.10 | 15.9 | |
| HTL-offsetNumber of training samples=302022.10 | 16.2 | |
| HTL-scaleNumber of training samples=502022.10 | 16.7 | |
| MAMLNumber of training samples=302022.10 | 16.7 | |
| HTL-scaleNumber of training samples=402022.10 | 16.9 | |
| PAC-NetNumber of training samples=502022.10 | 17.1 | |
| Only sourceNumber of training samples=502022.10 | 17.3 | |
| DirectNumber of training samples=152022.10 | 17.4 | |
| Only sourceNumber of training samples=402022.10 | 17.6 | |
| HTL-scaleNumber of training samples=302022.10 | 17.6 | |
| Fine-tuneNumber of training samples=202022.10 | 17.6 | |
| PAC-NetNumber of training samples=402022.10 | 17.6 | |
| AffineTL-constNumber of training samples=152022.10 | 17.7 | |
| AugmentedNumber of training samples=152022.10 | 17.8 | |
| HTL-offsetNumber of training samples=202022.10 | 17.8 | |
| L2-SPNumber of training samples=202022.10 | 18 | |
| Only sourceNumber of training samples=302022.10 | 18.5 | |
| HTL-scaleNumber of training samples=202022.10 | 18.5 | |
| PAC-NetNumber of training samples=302022.10 | 18.5 | |
| AffineTL-fullNumber of training samples=152022.10 | 18.6 | |
| Fine-tuneNumber of training samples=152022.10 | 18.6 | |
| AffineTL-fullNumber of training samples=102022.10 | 18.8 | |
| AffineTL-constNumber of training samples=102022.10 | 18.8 | |
| L2-SPNumber of training samples=152022.10 | 18.8 | |
| DirectNumber of training samples=102022.10 | 18.9 | |
| AugmentedNumber of training samples=102022.10 | 19.2 | |
| Only sourceNumber of training samples=202022.10 | 19.7 | |
| HTL-offsetNumber of training samples=152022.10 | 19.8 | |
| PAC-NetNumber of training samples=202022.10 | 20.1 | |
| MAMLNumber of training samples=202022.10 | 20.3 | |
| HTL-scaleNumber of training samples=152022.10 | 20.4 | |
| Fine-tuneNumber of training samples=102022.10 | 20.5 | |
| L2-SPNumber of training samples=102022.10 | 20.5 | |
| PAC-NetNumber of training samples=152022.10 | 20.7 | |
| MAMLNumber of training samples=152022.10 | 20.8 | |
| Only sourceNumber of training samples=152022.10 | 21 | |
| HTL-offsetNumber of training samples=102022.10 | 21.2 | |
| AffineTL-fullNumber of training samples=52022.10 | 21.2 | |
| AffineTL-constNumber of training samples=52022.10 | 21.2 | |
| DirectNumber of training samples=52022.10 | 21.3 | |
| Only sourceNumber of training samples=52022.10 | 21.8 | |
| HTL-scaleNumber of training samples=102022.10 | 22.1 | |
| Only sourceNumber of training samples=102022.10 | 22.3 | |
| MAMLNumber of training samples=102022.10 | 22.5 | |
| PAC-NetNumber of training samples=102022.10 | 22.7 | |
| HTL-scaleNumber of training samples=52022.10 | 23.3 | |
| HTL-offsetNumber of training samples=52022.10 | 23.7 | |
| AugmentedNumber of training samples=52022.10 | 24 | |
| L2-SPNumber of training samples=52022.10 | 24.9 | |
| Fine-tuneNumber of training samples=52022.10 | 25 | |
| PAC-NetNumber of training samples=52022.10 | 25.2 | |
| MAMLNumber of training samples=52022.10 | 29.8 |