logbook.json

{
  "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"
}