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Reinforcement Learning Surrogate Modeling on MountainCar (test)
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99
Reward Ratio
Decision Tree
81.32
85.91
90.5
95.09
Jul 8, 2026
Reward Ratio
Test MSE (x10^-3)
Updated 17d ago
Evaluation Results
Method
Method
Links
Reward Ratio
Test MSE (x10^-3)
Decision Tree
MD=5, Model Size=185±3
2026.07
99
20,000
ORCAID
MD=3, Model Size=24±1
2026.07
98
17,000
Cubist
MNR=8, Model Size=49±0
2026.07
97
22,000
RuleFit
MNR=12, Model Size=61±6
2026.07
82
36,000
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