Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00002419",
"name": "Q-learning",
"alternateName": [],
"additionalType": "AI System",
"description": "Q-learning is a ai algorithm associated with AI research.",
"creator": "Christopher Watkins",
"url": "entity.php?id=ENT-00002419",
"sameAs": "https://link.springer.com/article/10.1007/BF00992698",
"lxkeysWorld": {
"classification": "AI Algorithm",
"organization": "AI research",
"originContext": "AI data and evaluation infrastructure",
"firstPublicAppearance": "1989",
"currentStatus": "Active",
"registryStatus": "Documented",
"spatiumIndex": {
"total": 88,
"documentation": 25,
"evidence": 13,
"structure": 25,
"relationships": 25,
"level": "Level V — Persistent"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-17T01:33:48+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
"updated_utc": "2026-06-17T01:33:48+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
"reviewed_utc": "2026-06-17T01:33:48+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
},
"capabilities": [
"AI model or research system documentation",
"Public source anchoring",
"Machine-learning capability reference",
"Relationship graph compatibility",
"Machine-readable metadata"
],
"limitations": [
"Model behavior depends on version, deployment settings and usage context.",
"Capabilities should be interpreted through the linked model card, official documentation or research source."
],
"tags": [
"AI History",
"Algorithm",
"Reinforcement Learning",
"AI Algorithm"
],
"timeline": [
{
"date": "1989",
"title": "Public release or publication",
"description": "Q-learning appears in public documentation or research records associated with AI research."
}
],
"relationships": [
{
"target": "Christopher Watkins",
"type": "Creator",
"description": "Christopher Watkins is documented as creator, contributor or originating team for Q-learning.",
"evidence_level": "documentary"
},
{
"target": "AI research",
"type": "Associated organization",
"description": "AI research is the organization or institutional context associated with Q-learning.",
"evidence_level": "documentary"
},
{
"target": "AI Algorithm",
"type": "Classification",
"description": "Q-learning is classified as AI Algorithm.",
"evidence_level": "documentary"
}
],
"sources": [
{
"label": "Official documentation",
"url": "https://link.springer.com/article/10.1007/BF00992698",
"source_type": "Reference Source",
"verification_status": "verified"
}
]
}
}