R
ENT-00001465 · AI Research System

RLlib

RLlib is a reinforcement learning library associated with Anyscale.

Level IV — ConnectedDocumentedStructured
Human readable record

Overview

RLlib is a reinforcement learning library associated with Anyscale. The entity is included because it represents a distinct public model, architecture, benchmark, dataset or AI research system with an identifiable source base and documented role.

Timeline

  1. 2017RLlib public release or documentation

    RLlib appears in public documentation as a reinforcement learning library associated with Anyscale.

Capabilities

Documented AI capabilityResearch or product source anchorModel or system lineageRelationship mapping

Known limitations

Capabilities depend on version, training data, deployment configuration and evaluation setting.The record documents public identity and source context rather than private implementation details.
Technical and registry detail

Technical description

Structured record for RLlib. The technical layer captures creator, release period, source anchor, system category, capability profile, limitations and relationships to adjacent models, platforms, benchmarks or research systems.

Controlled tags

AI Research SystemDocumented EntityEstablishedBatch 03 Candidate
Relationship graph
RLlib
Created or maintained byAnyscale

RLlib is associated with Anyscale.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

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    "url": "entity.php?id=ENT-00001465",
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        "lxCalendarium": {
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            "created_utc": "2026-06-16T23:59:14+00:00",
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            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
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            "Documented AI capability",
            "Research or product source anchor",
            "Model or system lineage",
            "Relationship mapping"
        ],
        "limitations": [
            "Capabilities depend on version, training data, deployment configuration and evaluation setting.",
            "The record documents public identity and source context rather than private implementation details."
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        "tags": [
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