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Policy Improvement on InvertedDoublePendulum (IDP)

Policy Improvement on InvertedDoublePendulum (IDP)

38Success RateORCAID

Updated 3mo ago

Evaluation results

Method	Links
ORCAID2026.07		38	5
DT2026.07		0	0
Cubist2026.07		0	0
RuleFit2026.07		0	0

State-of-the-art paper

ORCAID

ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies

Dataset

InvertedDoublePendulum

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Related benchmarks

Reinforcement Learning Surrogate Modeling on Pendulum (P) (test)Policy Improvement on InvertedPendulum (IP)Reinforcement Learning Surrogate Modeling on MountainCar (test)Reinforcement Learning Surrogate Modeling on LunarLander (LL) (test)Reinforcement Learning Surrogate Modeling on InvertedDoublePendulum (IDP) (test)

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