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Offline Reinforcement Learning on Mixed Dataset Aggregate

62.2Normalized RewardMOBILE
26.52835.78945.0554.311Jun 6, 2024

Evaluation results

MethodLinks
MOBILEDataset Ratio (%)=502024.0662.249.6——
MOMBODataset Ratio (%)=502024.0655.851.9——
MOMBODataset Ratio (%)=102024.0650.243.9——
MOBILEDataset Ratio (%)=102024.0648.541.3——
MOPODataset Ratio (%)=502024.064837.1——
MOBILEDataset Ratio (%)=52024.0638.435——
MOMBODataset Ratio (%)=52024.0637.435.8——
MOMBODataset Ratio (%)=12024.063729.5——
MOPODataset Ratio (%)=102024.0633.628.7——
MOBILEDataset Ratio (%)=12024.0632.428——
MOPODataset Ratio (%)=52024.0629.725.5——
MOPODataset Ratio (%)=12024.0627.923.5——
MOBILEDataset Ratio (%)=All (Global Average)2024.06——45.42
MOBILEDataset Ratio (%)=All (AULC Global Average)2024.06——38.51.9
MOMBODataset Ratio (%)=All (Global Average)2024.06——45.11.5
MOMBODataset Ratio (%)=All (AULC Global Average)2024.06——40.31.5
MOPODataset Ratio (%)=All (Global Average)2024.06——34.82.5
MOPODataset Ratio (%)=All (AULC Global Average)2024.06——28.72.6