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Offline Reinforcement Learning on D4RL Hopper (Expert)

116.6Mean Normalized ScorePSPO
22.58446.99271.495.808Jun 17, 2022Feb 8, 2023Oct 3, 2023May 27, 2024Jan 19, 2025Sep 13, 2025May 8, 2026

Evaluation results

MethodLinks
PSPOAveraged across=4 random seeds2026.05116.6
RRPINumber of random seeds=42026.03114.8
OTDF2025.12113.2
EPQNumber of random seeds=42026.03112.4
EPQ2026.05112.4
PMDBNumber of random seeds=42026.03111.7
PMDB2026.05111.7
DMGNumber of random seeds=42026.03111.5
DMG2026.05111.5
BooT-rGeneration Strategy=Autoregressive2022.06110.5
C-LAPImplementation=Reproduced2024.11110.5
BooT-oGeneration Strategy=Autoregressive2022.06110.3
BooT-rGeneration Strategy=Teacher-forcing2022.06108.2
CQLNumber of random seeds=42026.03106.5
CQL2026.05106.5
BooT-oGeneration Strategy=Teacher-forcing2022.06104.6
TT2022.06102.3
AMGNumber of random seeds=42026.03102.3
ADM2026.05102.3
PLASImplementation=Reproduced2024.1197.1
DROCO2025.1292.5
IQL*variant=tuned/reproduced2025.1287.2
MOReLNumber of random seeds=42026.0380.4
MOReL2026.0580.4
MOBILEImplementation=Reproduced2024.1178.6
DARA2025.1277.1
CQL*variant=tuned/reproduced2025.1267.9
BOSA2025.1264.3
IGDF2025.1251.5
RAMBONumber of random seeds=42026.0350
RAMBO2026.0550
MOPOImplementation=Reproduced2024.1126.2