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ResearchFormerly WizWand

Offline Reinforcement Learning on MuJoCo Hopper Friction shift

52.94Normalized ScoreCEDGE-Policy
5.994418.182230.3742.5578May 24, 2026
Updated 5mo ago

Evaluation results

MethodLinks
CEDGE-PolicyLevel=0.12026.0552.94
MOBODYLevel=0.12026.0551.19
CEDGE-PolicyLevel=0.52026.0541.97
MOBODYLevel=0.52026.0541.34
DiffuserLevel=0.52026.0539.82
DiffuserLevel=0.12026.0539.32
CEDGE-PlannerLevel=0.12026.0536.65
CEDGE-PlannerLevel=0.52026.0536.43
DARALevel=0.52026.0526.94
DARALevel=0.12026.0526.13
BOSALevel=0.12026.0525.55
BOSALevel=0.52026.0525.22
IQLLevel=0.12026.0524.16
IQLLevel=0.52026.0523.56
TD3-BCLevel=0.52026.0519.6
TD3-BCLevel=0.12026.0518.64
CEDGE-PlannerLevel=2.02026.0514.06
DiffuserLevel=2.02026.0511.09
CEDGE-PolicyLevel=2.02026.0511.08
MOBODYLevel=2.02026.0511
BOSALevel=2.02026.0510.32
IQLLevel=2.02026.0510.15
DARALevel=2.02026.0510.15
TD3-BCLevel=2.02026.059.89
CEDGE-PlannerLevel=5.02026.058.27
CEDGE-PolicyLevel=5.02026.058.24
MOBODYLevel=5.02026.058.07
DiffuserLevel=5.02026.057.94
IQLLevel=5.02026.057.93
BOSALevel=5.02026.057.9
DARALevel=5.02026.057.86
TD3-BCLevel=5.02026.057.8