Robot Policy Learning on DeepMind Control Suite (DMC) online evaluation in simulation
92Walker/Stand ScoreCroBo
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| CroBoBackbone=ViT-S/16, Pre-training=Kinetics-400, Visual representations=frozen, Policy head architecture=3-layer MLP, History window=3 frames2026.03 | 92 | 80.8 | 95.8 | 69.9 | |
| ToBoBackbone=ViT-S/16, Pre-training=Kinetics-400, Visual representations=frozen, Policy head architecture=3-layer MLP, History window=3 frames2026.03 | 87 | 77.7 | 87.5 | 69.6 | |
| DINOv2Visual representations=frozen, Policy head architecture=3-layer MLP, History window=3 frames2026.03 | 81.2 | 38.2 | 87.6 | 67.4 | |
| RSPBackbone=ViT-S/16, Pre-training=Kinetics-400, Visual representations=frozen, Policy head architecture=3-layer MLP, History window=3 frames2026.03 | 77.3 | 64.6 | 63.1 | 68.5 | |
| CropMAEBackbone=ViT-S/16, Pre-training=Kinetics-400, Visual representations=frozen, Policy head architecture=3-layer MLP, History window=3 frames2026.03 | 59.9 | 33.8 | 75.4 | 69.9 |