RL
ENT-00001857 · Benchmark

RLBench

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

Level IV ConnectedActiveDocumented
Human record

Overview

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.

Timeline

  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.

Capabilities

Reinforcement learningEmbodied evaluationResearch reference

Known limitations

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.
Technical and structured detail

Technical description

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.

Controlled tags

RoboticsBenchmarkAgentic Systems
Relationship graph

RLBench

Open in full graph
RLBench
Published byOutgoing
Imperial College London

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

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00001857",
    "name": "RLBench",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Benchmark",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "RLBench is a AI benchmark associated with Imperial College London, classified in LXKeys.world as AI Benchmark / Evaluation.",
    "creator": "Imperial College London",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001857&lang=en",
    "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",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Reinforcement learning",
            "Embodied evaluation",
            "Research reference"
        ],
        "limitations": [
            "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."
        ],
        "tags": [
            "Robotics",
            "Benchmark",
            "Agentic Systems"
        ],
        "timeline": [
            {
                "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",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Imperial College London",
                "type": "Published by",
                "description": "RLBench is associated with Imperial College London through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official project page or repository",
                "url": "https://github.com/stepjam/RLBench",
                "source_type": "Official Repository",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
Proofs

Contribute to this record

Submit a source, correction or comment. Public changes remain moderated.

Submit proof or comment

Approved comments

No approved public comment yet.