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Offline Reinforcement Learning on antmaze medium-play

85.6ScoreQ-ALIGN DT
-3.42419.68842.865.912Jun 6, 2022Feb 2, 2023Oct 2, 2023May 31, 2024Jan 28, 2025Sep 27, 2025May 27, 2026

Evaluation results

MethodLinks
Q-ALIGN DT2026.0585.6
QCS-GAlgorithm Category=Ours, Conditioning Strategy=Goal2024.0284.8
PORAlgorithm Category=Combined2024.0284.6
GCIQL2023.0782.6
QCS-RAlgorithm Category=Ours, Conditioning Strategy=Return2024.0281.6
QCS2026.0581.6
SQLAlgorithm Category=Value-Based Method2024.0280.2
SPQRBase algorithm=CQL-Min2024.0180
QT2026.0578.6
TAP2023.0778
DWSL2023.0777.6
RORL2022.0676.3
IQL2023.0775.8
IQL+smoothing2022.0675.3
CQL2023.0772.8
RvS-G2023.0771.8
IQL2022.0671.2
IQL2024.0171.2
IQLAlgorithm Category=Value-Based Method2024.0271.2
IQL2026.0571.2
GCPC2023.0770.8
WGCSL2023.0763.2
CQL2022.0661.2
CQL-Min2024.0161.2
CQLAlgorithm Category=Value-Based Method2024.0261.2
CQL2026.0561.2
RvS-GAlgorithm Category=RCSL, Conditioning Strategy=Goal2024.0258.1
ROMI+BCQ2022.0635.3
DCAlgorithm Category=RCSL2024.0233.2
DC2026.0533.2
TD3+BC2022.0610.6
TD3+BCAlgorithm Category=Value-Based Method2024.0210.6
TD3+BC2026.0510.6
RvS-RAlgorithm Category=RCSL, Conditioning Strategy=Return2024.024.5
RVS2026.054.5
DTAlgorithm Category=RCSL2024.024.3
DT2026.054.3
BC2023.070.6
BC2022.060
AWAC2022.060
DT2023.070
BC2024.010
SAC-Min2024.010
BEAR2024.010