{ "schema_version": 1, "title": "Reproduction: SVL time-to-goal distributions and survival identity", "emoji": "🎯", "space_id": "DineshAI/qIOcJSCGn2", "paper": { "arxiv_id": "2604.17551", "openreview_id": "qIOcJSCGn2", "title": "SVL: Goal-Conditioned Reinforcement Learning as Survival Learning" }, "tags": [ "icml2026-repro", "paper-qIOcJSCGn2" ], "updated_at": "2026-07-23T12:14:51+00:00", "root": { "slug": "index", "title": "Reproduction: SVL time-to-goal distributions and survival identity", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-time-to-goal-distribution", "title": "Claim 1 — Time-to-goal as a probability distribution", "file": "pages/claim-1-time-to-goal-distribution/page.md", "children": [] }, { "slug": "claim-2-survival-identity", "title": "Claim 2 — Value = discounted sum of survival probabilities", "file": "pages/claim-2-survival-identity/page.md", "children": [] }, { "slug": "lemma-4-2-mle-asymptotic-normality", "title": "Lemma 4.2 - MLE asymptotic normality (O(n^-1/2))", "file": "pages/lemma-4-2-mle-asymptotic-normality/page.md", "children": [] }, { "slug": "claim-3-offline-benchmarks", "title": "Claim 3 — Offline GCRL benchmark performance", "file": "pages/claim-3-offline-benchmarks/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] }, { "slug": "claim-survival-identity", "title": "Claim — survival value identity", "file": "pages/claim-survival-identity/page.md", "children": [] }, { "slug": "three-interpretation-retry", "title": "Three-interpretation retry — C1, C4-C6", "file": "pages/three-interpretation-retry/page.md", "children": [] } ] }, "agent_view_tokens": 3600, "revision": "1784808891000000000" }