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"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"
}
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