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Benchmarks
Offline Reinforcement Learning on D4RL Adroit door-cloned
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24
Mean Normalized Score
MOBILE
-1.064
5.443
11.95
18.457
Dec 4, 2025
Dec 17, 2025
Dec 30, 2025
Jan 12, 2026
Jan 25, 2026
Feb 7, 2026
Feb 20, 2026
Mean Normalized Score
Updated 4d ago
Evaluation Results
Method
Method
Links
Mean Normalized Score
MOBILE
Model paradigm=Conserv...
2025.12
24
MOPO
Model paradigm=Conserv...
2025.12
15.3
EDAC
Model paradigm=Model-f...
2025.12
9.6
MoMo
Model paradigm=Conserv...
2025.12
5.8
EPQ
Policy Type=Gaussian,...
2026.02
5.8
FAC
Policy Type=Flow, Seeds=8
2026.02
4.1
IQL
Model paradigm=Model-f...
2025.12
3.1
FQL
Policy Type=Flow, Seeds=8
2026.02
2
MCQ
Policy Type=Gaussian,...
2026.02
1.3
ReBRAC
Policy Type=Gaussian,...
2026.02
1.1
CAC
Policy Type=Diffusion,...
2026.02
1
IQL
Policy Type=Gaussian,...
2026.02
0.8
CQL
Policy Type=Gaussian,...
2026.02
0.4
SAC-RND
Policy Type=Gaussian,...
2026.02
0.2
ReBRAC
Model paradigm=Model-f...
2025.12
0.1
TD3+BC
Policy Type=Gaussian,...
2026.02
0.1
NEUBAY
Model paradigm=Ours, p...
2025.12
0
IDQL
Policy Type=Diffusion,...
2026.02
0
SRPO
Policy Type=Diffusion,...
2026.02
0
BC
Model paradigm=Model-f...
2025.12
-0.1
ARMOR
Model paradigm=Conserv...
2025.12
-0.1
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