List your company

Offline Reinforcement Learning on D4RL Locomotion (Medium, Medium-Replay, Medium-Expert v2)

66.8Score (HalfCheetah, Medium)RORL
-1.63216.13433.951.666May 27, 2024Aug 30, 2024Dec 3, 2024Mar 9, 2025Jun 12, 2025Sep 15, 2025Dec 20, 2025

Evaluation results

MethodLinks
RORLEnsemble type=Ensemble-based2024.1066.8104.8102.461.9102.890.4107.8112.7121.2870.8
EDACEnsemble type=Ensemble-based2024.1065.9101.692.561.310187.1106.3110.7114.7841.1
GTA (with MCQ)Algo.=MCQ, Aug.=GTA2024.0563.7666.7591.2254.17102.19104.248099.27111.6385.91
MCQ with SynthERAlgo.=MCQ, Aug.=SynthER2024.0563.5765.6192.3158.34103.5498.0245.64106.02112.2282.81
MCQAlgo.=MCQ, Aug.=None2024.0560.9873.9789.754.09101.8692.1980.5192.85114.5584.52
MCQ with S4RLAlgo.=MCQ, Aug.=S4RL2024.0560.9373.9590.9153.32100.6289.979.0283.91102.6281.69
SCAS-htEnsemble type=Ensemble-free, Hyperparameter tuning=λ from {0.025, 0.25}2024.1058.5102.590.852.9101.688.191.7109.7110.8806.6
GTA (with TD3BC)Algo.=TD3BC, Aug.=GTA2024.0557.8469.5786.6950.0489.3193.8293.13110.4110.8684.63
GTA (with IQL)Algo.=IQL, Aug.=GTA2024.0554.8277.4684.446.89102.1193.3795.3107.78112.8786.11
GTA (with CQL)Algo.=CQL, Aug.=GTA2024.0554.1474.880.451.3698.8891.5794.93110.9110.4485.27
DQLEnsemble type=Ensemble-free2024.1051.190.58747.8101.395.596.8111.1110.1791.2
IQL with SynthERAlgo.=IQL, Aug.=SynthER2024.0549.7669.2180.1546.91102.9790.6391.994.08112.1281.97
TD3BC with SynthERAlgo.=TD3BC, Aug.=SynthER2024.0549.1663.785.4345.5778.8190.6785.4798.99109.9578.64
TD3BC with S4RLAlgo.=TD3BC, Aug.=S4RL2024.0548.7459.3484.6344.5367.3983.4290.78106.1110.2177.24
IQLAlgo.=IQL, Aug.=None2024.0548.6566.3584.3443.3595.7669.694.5791.69112.3778.52
IQL with S4RLAlgo.=IQL, Aug.=S4RL2024.0548.5865.0684.5843.5786.7270.3394.2299.82112.2978.35
TD3BCAlgo.=TD3BC, Aug.=None2024.0548.4261.0484.5844.6465.6984.1189.48104.08110.2376.92
SQLEnsemble type=Ensemble-free2024.1048.375.584.244.899.781.294111.8110749.5
DW+IQLEnsemble type=Ensemble-free2024.1047.762.580.844.679.765.193.781109.7664.8
CQL with SynthERAlgo.=CQL, Aug.=SynthER2024.0547.2164.6581.9146.0392.0686.6295.29107.66109.3681.2
EQLEnsemble type=Ensemble-free2024.1047.274.683.244.598.176.690.6105.5110.2730.5
CQL with S4RLAlgo.=CQL, Aug.=S4RL2024.054762.7281.4644.6278.8280.8295.89108.87109.6578.87
CQLAlgo.=CQL, Aug.=None2024.0546.9861.1382.2644.782.3379.7495.9104.38109.578.55
DW+CQLEnsemble type=Ensemble-free2024.1046.566.182.145.188.675.386.192.9109.7692.4
DTAugmentation=GTA2024.0543.8364.5774.9437.9878.4367.991.78110.54108.2475.36
DTAugmentation=S4RL2024.0542.4464.4972.2238.7166.4759.6791.8110.57108.472.75
DTAugmentation=None2024.0542.4363.0971.6439.3481.8162.0692.43109.05108.3874.47
SDRBudget=10242025.1228.25445.933.941.65710.537.448.440.8
RandomBudget=10242025.1226.35041.92832.847.810.132.732.227
GradMatchBudget=10242025.126.818.313.63.329.323.918.943.744.522.5
Top Q-valueBudget=10242025.122.37.713.14.46.13.81.79.14.35.8
GraNdBudget=10242025.122.114.55.926.42.73.11.33.34.6
Top RewardBudget=10242025.121.46.92.710.65.93.62.23.97.65
HerdingBudget=10242025.1214.42.70.70.63.63.32.91.12.3