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Reinforcement Learning Surrogate Modeling on Swimmer (S) (test)
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101
Reward Ratio
Cubist
86.44
90.22
94
97.78
Jul 8, 2026
Reward Ratio
MSE (x10^-3)
Updated 17d ago
Evaluation Results
Method
Method
Links
Reward Ratio
MSE (x10^-3)
Cubist
MNR=110, Model Size=27...
2026.07
101
0.036
Decision Tree
MD=10, Model Size=2384±86
2026.07
95
0.058
ORCAID
MD=2, Model Size=62±3
2026.07
90
0.059
RuleFit
MNR=14, Model Size=109±5
2026.07
87
0.065
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