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"schema_version": 2,
"title": "Repro - NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search",
"emoji": "🎯",
"space_id": "byte-vortex/nonzero-repro",
"paper": {
"arxiv_id": "2605.00751"
},
"tags": [
"icml2026-repro",
"paper-Jh6gq9QsFa"
],
"updated_at": "2026-08-03T06:40:46+00:00",
"root": {
"slug": "index",
"title": "Repro - NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search",
"file": "pages/index.md",
"children": [
{
"slug": "executive-summary",
"title": "Executive summary",
"file": "pages/executive-summary/page.md",
"children": []
},
{
"slug": "claim-1-low-dimensional-nonlinear-surrogate",
"title": "Claim 1: Low-dimensional nonlinear surrogate",
"file": "pages/claim-1-low-dimensional-nonlinear-surrogate/page.md",
"children": []
},
{
"slug": "claim-2-regret-bound-theorem-3-5",
"title": "Claim 2: Regret bound (Theorem 3.5)",
"file": "pages/claim-2-regret-bound-theorem-3-5/page.md",
"children": []
},
{
"slug": "claim-3-efficiency-separation-theorem-3-7",
"title": "Claim 3: Efficiency separation (Theorem 3.7)",
"file": "pages/claim-3-efficiency-separation-theorem-3-7/page.md",
"children": []
},
{
"slug": "claim-4-matgame-8-agent-10-action-nonlinear",
"title": "Claim 4: MatGame 8-agent 10-action nonlinear",
"file": "pages/claim-4-matgame-8-agent-10-action-nonlinear/page.md",
"children": []
},
{
"slug": "claim-5-smac-win-rate",
"title": "Claim 5: SMAC win rate",
"file": "pages/claim-5-smac-win-rate/page.md",
"children": []
},
{
"slug": "claim-6-smacv2-win-rate-ablations",
"title": "Claim 6: SMACv2 win rate + ablations",
"file": "pages/claim-6-smacv2-win-rate-ablations/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
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