Multi-task Reinforcement Learning on Meta-World MT10 V2
99.5Success RateARS-LoRA
Evaluation Results
| Method | Links | |
|---|---|---|
| ARS-LoRAParams=3878K2026.05 | 99.5 | |
| ARS-LN (400)Params=2530K2026.05 | 98.6 | |
| ARSParams=2517K2026.05 | 97.3 | |
| TOPPOParams=685K2026.05 | 97.2 | |
| +LN-c +PopArtParams=685K2026.05 | 96.8 | |
| +LN-cParams=685K2026.05 | 96.2 | |
| +LN-c +PopArt +FG-cParams=685K2026.05 | 94.8 | |
| SMTParams=–2026.05 | 86.8 | |
| MOOREParams=6890K2026.05 | 86 | |
| Vanilla MT-PPOParams=684K2026.05 | 85.2 | |
| PaCoParams=–2026.05 | 82.4 | |
| MT-MH-SACParams=2546K2026.05 | 77.2 | |
| PCGrad-SACParams=2517K2026.05 | 74.8 | |
| Soft ModularizationParams=3454K2026.05 | 74.4 | |
| SAC-MTParams=2517K2026.05 | 69.4 |