RL
ENT-00001857 · Benchmark

RLBench

RLBench is a AI benchmark associated with Imperial College London, classified in LXKeys.world as AI Benchmark / Evaluation.

Niveau IV ConnectéActifDocumenté
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Vue d’ensemble

RLBench is a documented AI dataset or benchmark associated with Imperial College London. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Chronologie

  1. 2019Initial benchmark release

    RLBench entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Reinforcement learningEmbodied evaluationResearch reference

Limites connues

Benchmark scores depend on the exact dataset version, prompt or evaluation protocol, scoring implementation and contamination controls.Leaderboard performance should not be treated as a complete measure of real-world capability or safety.Benchmark relevance can decline as models, data and evaluation practices evolve.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for RLBench. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: Imperial College London. Canonical source anchor: https://github.com/stepjam/RLBench. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

RoboticsBenchmarkAgentic Systems
Graphe relationnel

RLBench

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RLBench
Publié parSortante
Imperial College London

RLBench is associated with Imperial College London through its documented source context.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

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    "@type": "Thing",
    "identifier": "ENT-00001857",
    "name": "RLBench",
    "alternateName": [],
    "additionalType": {
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    "creator": "Imperial College London",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001857&lang=fr",
    "sameAs": "https://github.com/stepjam/RLBench",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001857",
        "kind": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "classification": "AI Benchmark / Evaluation",
        "organization": "Imperial College London",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:29+00:00",
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        },
        "facts": [],
        "capabilities": [
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            "Embodied evaluation",
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        "limitations": [
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                "date": "2019",
                "title": "Initial benchmark release",
                "description": "RLBench entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/stepjam/RLBench",
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        "relationships": [
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        "sources": [
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                "url": "https://github.com/stepjam/RLBench",
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                "authority_basis": "curated-corpus-refresh-2026-09-08"
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}
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