Share your thoughts, 1 month free Claude Pro on usSee more

Home/Benchmarks

Policy Improvement on LunarLander (LL)

53Performance Rate

ORCAID

Updated 17d ago

Evaluation Results

Method	Links
ORCAID 2026.07		53	5.3
DT 2026.07		50	3.9

SOTA Paper

ORCAID

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

Dataset

LunarLander

Follow for update

@wizwand_team Discord

Related Benchmarks

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

© 2026 wizwand

Blog Contact Changelog Swarm

Privacy Policy Terms of Service FAQs Swarm Docs