Offline Reinforcement Learning on D4RL Gym Locomotion v2
54.9HalfCheetah (Medium)DMG
Evaluation results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DMG2024.11 | 54.9 | 100.6 | 92.4 | 51.4 | 101.9 | 89.7 | 91.1 | 110.4 | 114.4 | 95.9 | 111.5 | 114.7 | 28.8 | 20.4 | 4.8 | 1,182.8 | |
| OneStep2024.11 | 50.4 | 87.5 | 84.8 | 42.7 | 98.5 | 61.7 | 75.1 | 108.6 | 111.3 | 88.2 | 106.9 | 110.7 | 2.3 | 5.6 | 6.9 | 1,041.2 | |
| BiTrajDiffOffline RL Algorithm=TD3BC2025.06 | 50.3 | 79 | 86.7 | 45 | 85 | 89.9 | 96.3 | 109 | 110.2 | — | — | — | — | — | — | 83.5 | |
| DiffStitchOffline RL Algorithm=TD3BC2025.06 | 50.1 | 67.9 | 85.5 | 45.1 | 71.5 | 80.5 | 95.9 | 97.5 | 109.6 | — | — | — | — | — | — | 78.2 | |
| SyntherOffline RL Algorithm=TD3BC2025.06 | 49.7 | 61.2 | 83.4 | 44.5 | 76.4 | 81.1 | 95.5 | 106.2 | 109.4 | — | — | — | — | — | — | 78.6 | |
| RTDiffOffline RL Algorithm=TD3BC2025.06 | 49.4 | 62.6 | 85.4 | 44 | 72.1 | 83.5 | 93.9 | 106.8 | 109.6 | — | — | — | — | — | — | 78.6 | |
| SyntherOffline RL Algorithm=IQL2025.06 | 49.2 | 61.1 | 85.8 | 46.2 | 100.6 | 86.7 | 86.6 | 111.2 | 112.1 | — | — | — | — | — | — | 82.2 | |
| RTDiffOffline RL Algorithm=IQL2025.06 | 48.9 | 62 | 82.7 | 43.7 | 97.7 | 74 | 92 | 110.5 | 111.9 | — | — | — | — | — | — | 80.4 | |
| DiffStitchOffline RL Algorithm=IQL2025.06 | 48.6 | 65.5 | 79.8 | 43.6 | 96.4 | 74.9 | 90.3 | 108.6 | 111.2 | — | — | — | — | — | — | 79.9 | |
| BiTrajDiffOffline RL Algorithm=IQL2025.06 | 48.6 | 81.1 | 86.7 | 44.1 | 102.8 | 87.6 | 95.3 | 110.9 | 112.5 | — | — | — | — | — | — | 85.5 | |
| TD3BCOffline RL Algorithm=TD3BC, Data Augmentation=None2025.06 | 48.4 | 60.4 | 82 | 44.1 | 64.4 | 80.9 | 92.3 | 94.2 | 109.3 | — | — | — | — | — | — | 75.1 | |
| TD3BC2024.11 | 48.3 | 59.3 | 83.7 | 44.6 | 60.9 | 81.8 | 90.7 | 98 | 110.1 | 96.7 | 107.8 | 110.2 | 11 | 8.5 | 1.6 | 1,013.2 | |
| IQLOffline RL Algorithm=IQL, Data Augmentation=None2025.06 | 48.2 | 67 | 77.6 | 43.5 | 94.7 | 73.3 | 90.1 | 105.4 | 112.4 | — | — | — | — | — | — | 79.1 | |
| AWAC2024.11 | 47.9 | 59.8 | 83.1 | 44.8 | 69.8 | 78.1 | 64.9 | 100.1 | 110 | 81.7 | 109.5 | 110.1 | 6.1 | 9.2 | 0.2 | 975.3 | |
| IQL2024.11 | 47.4 | 66.2 | 78.3 | 44.2 | 94.7 | 73.8 | 86.7 | 91.5 | 109.6 | 95 | 109.4 | 109.9 | 13.1 | 7.9 | 5.4 | 1,033.1 | |
| CQL2024.11 | 47 | 53 | 73.3 | 45.5 | 88.7 | 81.8 | 75.6 | 105.6 | 107.9 | 96.3 | 96.5 | 108.5 | 17.5 | 7.9 | 5.1 | 1,010.2 | |
| BCQ2024.11 | 46.6 | 59.4 | 71.8 | 42.2 | 60.9 | 57 | 95.4 | 106.9 | 107.7 | 89.9 | 109 | 106.3 | 2.2 | 7.8 | 4.9 | 968 | |
| BEAR2024.11 | 43 | 51.8 | -0.2 | 36.3 | 52.2 | 7 | 46 | 50.6 | 22.1 | 92.7 | 54.6 | 106.6 | 2.3 | 3.9 | 12.8 | 581.7 | |
| DT2024.11 | 42.6 | 67.6 | 74 | 36.6 | 82.7 | 66.6 | 86.8 | 107.6 | 108.1 | 87.7 | 94.2 | 108.3 | 2.2 | 5.4 | 2.2 | 972.6 | |
| BC2024.11 | 42 | 56.2 | 71 | 36.4 | 21.8 | 24.9 | 59.6 | 51.7 | 101.2 | 92.9 | 110.9 | 107.7 | 2.6 | 4.1 | 1.2 | 784.2 |