{ "schema_version": 1, "title": "Repro - Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks", "emoji": "🎯", "space_id": "JacobLinCool/repro-chebyshev-policies-mountain-car", "paper": { "arxiv_id": "2605.22305" }, "tags": [ "icml2026-repro", "paper-aNWIVNjocB" ], "updated_at": "2026-07-16T03:41:20+00:00", "root": { "slug": "index", "title": "Repro - Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks", "file": "pages/index.md", "children": [ { "slug": "paper-version-and-claim-map", "title": "Paper version and claim map", "file": "pages/paper-version-and-claim-map/page.md", "children": [] }, { "slug": "claim-1-closed-form-optimal-control", "title": "Claim 1 - Closed-form optimal control", "file": "pages/claim-1-closed-form-optimal-control/page.md", "children": [] }, { "slug": "claim-2-analytic-and-neural-returns", "title": "Claim 2 - Analytic and neural returns", "file": "pages/claim-2-analytic-and-neural-returns/page.md", "children": [] }, { "slug": "claim-3-ch-3-ars", "title": "Claim 3 - CH-3-ARS", "file": "pages/claim-3-ch-3-ars/page.md", "children": [] }, { "slug": "claim-4-ch-3-ppo-and-ch-3-reinforce", "title": "Claim 4 - CH-3-PPO and CH-3-REINFORCE", "file": "pages/claim-4-ch-3-ppo-and-ch-3-reinforce/page.md", "children": [] }, { "slug": "claim-5-pendulum-and-aero-2", "title": "Claim 5 - Pendulum and Aero 2", "file": "pages/claim-5-pendulum-and-aero-2/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 20727, "revision": "1784173280174440000" }