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Benchmarks
Multi-task Reinforcement Learning on Meta-World MT10 V2
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99.5
Success Rate
ARS-LoRA
68.196
76.323
84.45
92.577
May 12, 2026
Success Rate
Updated 21d ago
Evaluation Results
Method
Method
Links
Success Rate
ARS-LoRA
Params=3878K
2026.05
99.5
ARS-LN (400)
Params=2530K
2026.05
98.6
ARS
Params=2517K
2026.05
97.3
TOPPO
Params=685K
2026.05
97.2
+LN-c +PopArt
Params=685K
2026.05
96.8
+LN-c
Params=685K
2026.05
96.2
+LN-c +PopArt +FG-c
Params=685K
2026.05
94.8
SMT
Params=–
2026.05
86.8
MOORE
Params=6890K
2026.05
86
Vanilla MT-PPO
Params=684K
2026.05
85.2
PaCo
Params=–
2026.05
82.4
MT-MH-SAC
Params=2546K
2026.05
77.2
PCGrad-SAC
Params=2517K
2026.05
74.8
Soft Modularization
Params=3454K
2026.05
74.4
SAC-MT
Params=2517K
2026.05
69.4
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