Cube
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Active Feature Acquisition | Cube-NM nc = 5, sigma = 0.2 | Training Runtime (s)9.2 | 16 | |
| Robotic manipulation | Cube (test) | Success Rate79 | 14 | |
| Dynamic Feature Selection | Cube | AUAC-F147.47 | 13 | |
| Deformable object simulation | CUBE (test) | RMSE0.019 | 12 | |
| Object Manipulation | CUBE NOISY Double | Success Rate33 | 9 | |
| Manipulation | cube single-play-oraclerep v0 | Task 1 Success Rate98 | 9 | |
| Goal-Conditioned Reinforcement Learning | Cube triple-play v0 | Success Rate11 | 9 | |
| Goal-Conditioned Reinforcement Learning | Cube single-play v0 | Success Rate83 | 9 | |
| Failure Detection | CUBE (Unseen) | bACC91.4 | 8 | |
| Failure Detection | CUBE (Seen) | bACC99.2 | 8 | |
| task4 | Cube-quad | Success Rate (Offline)40 | 8 | |
| task4 | Cube-triple | Success Rate (Offline)1.2 | 8 | |
| task2 | Cube-triple | Offline Success Rate3.2 | 8 | |
| task4 | Cube-double | Success Rate (Offline)23.2 | 8 | |
| task3 | Cube-double | Success Rate (Offline)79.6 | 8 | |
| task2 | Cube double | Success Rate (Offline)77.6 | 8 | |
| Pixel-based goal-conditioned control | Cube | Success Rate86 | 8 | |
| Manipulation | cube double-play v0 | Success Rate40 | 7 | |
| Manipulation | cube single-play v0 | Success Rate68 | 7 | |
| Offline Goal-Conditioned Reinforcement Learning | cube-single-play v0 | Success Rate68 | 7 | |
| Robot Manipulation | Cube Single | Success Rate98 | 6 | |
| Pose graph optimization | Cube n=8000, m=22236 | Error4.22 | 6 | |
| Physical Parameter Identification | Cube | Mass0.08 | 5 | |
| robotic arm manipulation | Cube | Success Rate74 | 4 | |
| Exploration and Object Identification | Cube | Success Rate83.3 | 4 |
Showing 25 of 31 rows