Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
Paper • 2605.22305 • Published
ICML 2026 Reproduction — Chebyshev Policies
Claim-by-claim reproduction of ICML 2026 paper aNWIVNjocB with validated Jobs, raw evidence, analyses, and Trackio logbook.
Note Paper input: arXiv 2605.22305v4; OpenReview aNWIVNjocB.
JacobLinCool/chebyshev-job-artifacts
145 MBNote Public inputs, validated raw Job evidence, and final integrity-checked release bundle.
Repro - Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
🎯Browse and sync experiment logbook with your coding agent
Note Public Trackio logbook with five claim verdicts, four interactive evidence figures, reproducibility poster, exact cost/hardware accounting, and downloadable artifact.
JacobLinCool/repro-chebyshev-policies-mountain-car-artifacts
80 MBNote Trackio artifact store for the immutable 76.36 MB reproduction-bundle:v0 and the logbook local-evidence attachments.