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Offline Reinforcement Learning on D4RL Medium-Replay HalfCheetah

95.8Normalized ScoreAdaptive Policy Selection and Fine-Tuning
11.97633.73855.577.262Jun 9, 2023Dec 3, 2023May 28, 2024Nov 22, 2024May 18, 2025Nov 11, 2025May 8, 2026

Evaluation results

MethodLinks
Adaptive Policy Selection and Fine-TuningPhase=Online, Online Interaction Budget=160 K2026.0595.8
BestPhase=Offline, Online Interaction Budget=160 K2026.0584.7
OEPhase=Offline, Online Interaction Budget=160 K2026.0584.7
PSPOAveraged across=4 random seeds2026.0578.4
RAMBOMethod Category=Model-free2025.1277.6
VIPOMethod Category=Conservative model-based2025.1277.2
SUMOMethod Category=Conservative model-based2025.1276.2
FTPhase=Online, Online Interaction Budget=160 K2026.0575.4
RRPINumber of random seeds=42026.0374.4
MoMoMethod Category=Conservative model-based2025.1272.9
MOPOMethod Category=Conservative model-based2025.1272.1
NEUBAYMethod Category=Ours2025.1272.1
MOBILEMethod Category=Conservative model-based2025.1271.7
PMDBNumber of random seeds=42026.0371.7
PMDBMethod Type=Model-based2023.1071.7
PMDB2026.0571.7
Count-MORLMethod Type=Model-based2023.1071.5
CROPMethod Type=Model-based2023.1070.4
MAPLEMethod Category=Bayesian-inspired2025.1269.5
RAMBOMethod Type=Model-based2023.1068.9
RAMBONumber of random seeds=42026.0368.7
RAMBO2026.0568.7
OPEPhase=Offline, Online Interaction Budget=160 K2026.0568.4
ADMPOMethod Category=Conservative model-based2025.1267.6
AMGNumber of random seeds=42026.0367.6
ADM2026.0567.6
MoDAPMethod Category=Bayesian-inspired2025.1267.3
CBOPMethod Category=Bayesian-inspired2025.1266.4
LEQMethod Category=Conservative model-based2025.1265.5
APE-VMethod Category=Conservative model-based2025.1264.6
EPQNumber of random seeds=42026.0362
EPQ2026.0562
EDACMethod Category=Model-free2025.1261.3
EDACMethod Type=Model-free2023.1061.3
COMBOMethod Category=Model-free2025.1255.1
COMBO2025.1255.1
COMBOMethod Type=Model-based2023.1055.1
DMGNumber of random seeds=42026.0351.4
DMG2026.0551.4
ATACMethod Type=Model-free2023.1048
CQL2023.0645.5
CQLModel Category=Value-based2026.0245.5
CQL2023.0645.5
CQLMethod Category=Model-free2025.1245.3
CQLNumber of random seeds=42026.0345.3
CQL2026.0545.3
IDQL2025.1245.1
TD3+BCModel Category=Value-based2026.0244.6
IQLAccess=True reward functions2024.0444.5
MOReLNumber of random seeds=42026.0344.5
MOReL2026.0544.5
CABI+TD3-BCMethod Type=Model-based2023.1044.4
IQL2023.0644.2
IQLMethod Type=Model-free2023.1044.2
Planner2025.1244
MPDiffuser+Rankranking=true2025.1243.5
MPDiffuserranking=false2025.1243.4
PTAccess=Scripted preferences2024.0442.3
Diffuser2023.0642.2
Diffuser2025.1242.2
TT2023.0641.9
TT2023.0641.9
OPRLAccess=Scripted preferences2024.0441.5
Decision Stacks2023.0641.1
D-MPC2025.1241.1
DCModel Category=SSM-based2026.0241.1
DMMModel Category=SSM-based2026.0241.1
TAP2023.0640.8
DMambasource=Lv et al., 20242023.0640.8
CAMPAccess=Scripted preferences2024.0440.5
MOREL2023.0640.2
OPPOAccess=Scripted preferences, Implementation=Reported2024.0439.8
DMModel Category=SSM-based2026.0239.8
DMambasource=Ota, 20242023.0639.6
DDImplementation=reproduced2023.0639.4
DDImplementation=Original2023.0639.3
Decision Diffuser2025.1239.3
DTModel Category=Transformer-based2026.0239.1
MambaDM2023.0639.1
RATE2023.0639
EDTModel Category=Transformer-based2026.0237.8
BC2023.0636.6
DT2023.0636.6
BC2025.1236.6
DT2025.1236.6
DT2023.0636.6
BCAccess=Scripted preferences2024.0435.7
QLDTModel Category=Transformer-based2026.0235.6
OPPOAccess=Scripted preferences, Implementation=Re-implementation2024.0433.6
DARA2025.1228.9
DROCO2025.1227.9
BOSA2025.1227.8
IQL*variant=tuned/reproduced2025.1226.1
IGDF2025.1224.2
CQL*variant=tuned/reproduced2025.1221.3
OTDF2025.1219.7
DS4Model Category=SSM-based2026.0215.2