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Offline Reinforcement Learning on D4RL adroit 12 tasks (Normalized Score)

59Normalized ScoreReBRAC
42.3646.685155.32Apr 24, 2026Apr 29, 2026May 5, 2026May 11, 2026May 17, 2026May 23, 2026May 29, 2026

Evaluation results

MethodLinks
ReBRACPolicy Class=Gaussian Policy2026.0459
ReBRACPolicy Category=Gaussian2026.0559
IQLPolicy Class=Gaussian Policy2026.0453
IQLPolicy Category=Gaussian2026.0553
IFQLPolicy Class=Multi-step / Iterative Policy2026.0452
DeFlowPolicy Class=Multi-step / Iterative Policy2026.0452
FQLPolicy Class=One-step Method2026.0452
DROLPolicy Class=One-step Method, K-selection protocol=benchmark-specific2026.0452
IDQLPolicy Category=Diffusion2026.0552
IFQLPolicy Category=Flow2026.0552
FQLPolicy Category=Flow2026.0552
DROLPolicy Class=One-step Method, K=162026.0451
SRPOPolicy Category=Diffusion2026.0551
FBRACPolicy Class=Multi-step / Iterative Policy2026.0450
FBRACPolicy Category=Flow2026.0550
DriftQLPolicy Category=Drift2026.0550
BCPolicy Class=Gaussian Policy2026.0448
FAWACPolicy Class=Multi-step / Iterative Policy2026.0448
BCPolicy Category=Gaussian2026.0548
FAWACPolicy Category=Flow2026.0548
CACPolicy Category=Diffusion2026.0543