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ResearchFormerly WizWand

Offline Reinforcement Learning on halfcheetah Mixed Dataset

74.5Normalized RewardMOBILE
27.739.855264.15Jun 6, 2024
Updated 8mo ago

Evaluation results

MethodLinks
MOBILEDataset Ratio (%)=10, Dataset Type=random-expert2024.0674.564.7
MOMBODataset Ratio (%)=50, Dataset Type=random-medium2024.0673.569.3
MOPODataset Ratio (%)=50, Dataset Type=random-medium2024.0673.468.4
MOBILEDataset Ratio (%)=50, Dataset Type=random-expert2024.0672.947.3
MOBILEDataset Ratio (%)=50, Dataset Type=random-medium2024.067267.3
MOMBODataset Ratio (%)=10, Dataset Type=random-medium2024.066861.2
MOPODataset Ratio (%)=10, Dataset Type=random-medium2024.0666.259.5
MOBILEDataset Ratio (%)=10, Dataset Type=random-medium2024.0665.459.9
MOBILEDataset Ratio (%)=5, Dataset Type=random-medium2024.0662.456.4
MOMBODataset Ratio (%)=5, Dataset Type=random-medium2024.0662.258.1
MOPODataset Ratio (%)=5, Dataset Type=random-medium2024.0662.154.3
MOMBODataset Ratio (%)=10, Dataset Type=random-expert2024.0658.162.4
MOMBODataset Ratio (%)=1, Dataset Type=random-medium2024.0655.448.5
MOBILEDataset Ratio (%)=5, Dataset Type=random-expert2024.065449.7
MOBILEDataset Ratio (%)=1, Dataset Type=random-expert2024.0651.838.2
MOBILEDataset Ratio (%)=1, Dataset Type=random-medium2024.0651.346
MOPODataset Ratio (%)=1, Dataset Type=random-medium2024.0642.141.4
MOPODataset Ratio (%)=50, Dataset Type=random-expert2024.0642.130.7
MOMBODataset Ratio (%)=1, Dataset Type=random-expert2024.064132.3
MOMBODataset Ratio (%)=5, Dataset Type=random-expert2024.0639.130.3
MOPODataset Ratio (%)=5, Dataset Type=random-expert2024.0633.833.6
MOPODataset Ratio (%)=1, Dataset Type=random-expert2024.0633.531.2
MOMBODataset Ratio (%)=50, Dataset Type=random-expert2024.0633.444.1
MOPODataset Ratio (%)=10, Dataset Type=random-expert2024.0629.532.9