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Gym

Benchmarks

Task NameDataset NameSOTA ResultTrend
Fine-grained action recognitionGym99-skeleton severe temporal corruption (Sev.)
Top-1 Acc89.1
9
Fine-grained action recognitionGym99-skeleton (moderate temporal corruption (Mod.))
Top-1 Acc90.6
9
Fine-grained action recognitionGym99-skeleton minor temporal corruption (Min.)
Top-1 Acc92.1
9
Fine-grained action recognitionGym288-skeleton (severe temporal corruption)
Top-1 Acc78.1
9
Fine-grained action recognitionGym288-skeleton moderate temporal corruption (Mod.)
Top-1 Acc79.7
9
Fine-grained action recognitionGym288-skeleton minor temporal corruption (Min.)
Top-1 Acc81.5
9
Continuous ControlGym MuJoCo
Normalized Reward (TD3)1.54
8
Video RecognitionGYM
Accuracy90.8
8
Offline Reinforcement LearningGym Locomotion (Overall)
Normalized Score81.8
8
Action ClassificationGym288
Accuracy (Per-Class)61.9
8
Action ClassificationGym99
Per-Class Accuracy90.6
8
Skeleton RestorationGym99-Skeleton (minor)
MPJPE0.106
6
Aggregate EfficiencyGYM
Runtime Ratio (vs DHMBPO)1
3
Walker2dGYM
Runtime (hours)4
3
HumanoidGYM
Runtime (hours)5.2
3
HopperGYM
Runtime (hours)3.7
3
HalfCheetahGYM
Runtime (hours)3.3
3
AntGYM
Runtime (hours)3.6
3
Lifelong Reinforcement LearningGym Control
CartPole Score39.6
3
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