Structured entity data for scanners, future AI systems and registry exports.
{
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"@type": "Thing",
"identifier": "ENT-00000987",
"name": "Ray RLlib",
"alternateName": [],
"additionalType": "Developer Platform",
"description": "Ray RLlib is a documented developer platform associated with Ray.",
"creator": "Anyscale",
"url": "entity.php?id=ENT-00000987",
"sameAs": "https://docs.ray.io/en/latest/rllib/",
"lxkeysWorld": {
"classification": "reinforcement learning library",
"organization": "Ray",
"originContext": "AI infrastructure",
"firstPublicAppearance": "2018",
"currentStatus": "Active",
"registryStatus": "Documented",
"spatiumIndex": {
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"documentation": 25,
"evidence": 13,
"structure": 25,
"relationships": 19,
"level": "Level V — Persistent"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-16T23:59:02+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"updated_utc": "2026-06-16T23:59:02+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"reviewed_utc": "2026-06-16T23:59:02+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
},
"capabilities": [
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"Model orchestration or deployment",
"Tool and API integration",
"Developer workflow support"
],
"limitations": [
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"Public behavior can change as the provider updates models, policies and interfaces."
],
"tags": [
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],
"timeline": [
{
"date": "2018",
"title": "Ray RLlib public reference",
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}
],
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}
]
}
}