| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CortexBench | R3M | Adroit Score74.7 | 22 | 4mo ago | |
| Meta-World 15 tasks | TSIL | Success Rate98.6 | 7 | 1mo ago | |
| 14-task benchmark | Conquer | Final SR95.6 | 6 | 1mo ago | |
| BEHAVIOR 2025 (private) | Robot Learning Collective | Binary Success12.4 | 5 | 4mo ago | |
| BEHAVIOR 2025 (public) | Binary Success14.4 | 5 | 4mo ago | ||
| Robot learning environments sample efficiency focus | - | - | 0 | 2mo ago | |
| Robot learning environments dense or dexterous | - | - | 0 | 2mo ago | |
| Robot learning environments long horizons | - | - | 0 | 2mo ago | |
| Robot learning environments with partial demonstrations | - | - | 0 | 2mo ago | |
| Robot learning environments requiring high precision | - | - | 0 | 2mo ago | |
| Robot learning environments with mixed data quality | - | - | 0 | 2mo ago | |
| Consolidated Robot Learning Environments Real-world, MuJoCo, SAPIEN, CoppeliaSim, etc. | - | - | 0 | 3mo ago |