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RoboRewardBench

Benchmarks

Task NameDataset NameSOTA ResultTrend
Reward ModelingRoboRewardBench
MAE0.665
24
Reward PredictionRoboRewardBench 1.0
Overall MAE0.665
12
Reward PredictionRoboRewardBench
MAE0.67
8
Robotic Manipulation Trajectory Preference PredictionRoboRewardBench 500 randomly sampled trajectory pairs
Accuracy87.4
5
Value-Order CorrelationRoboRewardBench (held-out)
Spearman VOC0.966
4
Showing 5 of 5 rows