Offline Reinforcement Learning on D4RL (MuJoCo M/MR/ME & Adroit/Kitchen Subset)
113.3Walker2d (Medium Expert) ScoreICQL
Evaluation results
| Method | Links | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ICQL2025.09 | 113.3 | 80.3 | 81.9 | 111 | 62.6 | 96.4 | 89.1 | 45.9 | 44.7 | 85.6 | 89.4 | 3.7 | 4.5 | 17.1 | 11.7 | 79.3 | 59.5 | 61.5 | 69.7 | |
| IQL2025.09 | 109.8 | 71.5 | 61 | 98.5 | 63.3 | 82.4 | 83.4 | 42.5 | 38.9 | 89.5 | 84.9 | 7.2 | 0.5 | 9.8 | 7.6 | 59.2 | 53.3 | 45.8 | 63.2 | |
| DMG2025.09 | 109.5 | 85 | 81.9 | 109.8 | 92.3 | 100.1 | 93.6 | 47.9 | 44.6 | 66.2 | 67.5 | 18.4 | 13.4 | 0.1 | 3.7 | 22.5 | 30 | 37.5 | 62 | |
| TD3BC2025.09 | 109.2 | 77 | 41.5 | 78.2 | 53.5 | 59.4 | 62.8 | 43.1 | 41.8 | 64.6 | 76.8 | 1.5 | 1.8 | 0.2 | -0.1 | 57.5 | 53.5 | 46.7 | 47.7 | |
| ReBRAC2025.09 | 109.2 | 82.8 | 39.4 | 98.7 | 60.6 | 87.4 | 84.6 | 44.6 | 36.9 | 91.5 | 68.9 | 1.1 | 0.2 | -0.1 | 9 | 60 | 47.5 | 62.5 | 60 | |
| RADT2025.09 | 107.8 | 68.9 | 67.2 | 109.4 | 62.4 | 81.6 | 90.9 | 42 | 38.9 | 17.8 | 32.4 | 0.7 | 1.3 | 13.2 | 2.4 | 32.5 | 54.1 | 53.8 | 57.2 | |
| BC2025.09 | 107.5 | 75.3 | 26 | 52.5 | 52.9 | 18.1 | 55.2 | 42.6 | 36.6 | 63.9 | 37 | 1.2 | 0.6 | 2 | 0 | 65 | 51.5 | 38 | 47.3 | |
| QC2025.09 | 102.8 | 34.1 | 46.6 | 44 | 64.6 | 18.6 | 94.2 | 48.2 | 40.5 | 55.7 | 54.8 | 1.2 | 2.2 | 0.7 | 4.4 | 27.5 | 60 | 52.5 | 47.7 | |
| FQL2025.09 | 101 | 72.4 | 60.9 | 60.1 | 55.6 | 55 | 92.9 | 43.9 | 40 | 61.2 | 23.5 | 1.1 | 1.7 | 0.2 | 0.1 | 16.3 | 45 | 15.8 | 50.5 | |
| CQL2025.09 | 98.7 | 79.2 | 77.2 | 105.4 | 58 | 95 | 62.4 | 44.4 | 45.5 | 37.5 | 39.2 | 4.4 | 2.1 | 9.9 | 0.1 | 43.8 | 51 | 49.8 | 58.5 | |
| DT2025.09 | 70.7 | 70.2 | 54.8 | 57.5 | 57.1 | 65.8 | 70.8 | 42.8 | 39.5 | 79.5 | 74 | 1.7 | 3.7 | 5.5 | 3.2 | 52.5 | 60 | 55 | 56.2 |