ENT-00001846 · AI Dataset

D4RL

D4RL is a offline reinforcement learning benchmark associated with UC Berkeley.

Level IV — ConnectedActiveDocumented

Human readable record

Overview

D4RL is a documented AI dataset or benchmark associated with UC Berkeley. 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

2020D4RL public documentation anchor
D4RL appears in public documentation or stable reference sources as a offline reinforcement learning benchmark associated with UC Berkeley.

Capabilities

Reinforcement learningEmbodied evaluationResearch reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for D4RL. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://github.com/Farama-Foundation/D4RL.

Controlled tags

RoboticsBenchmarkAgentic Systems

Relationship graph

D4RL

Published byUC Berkeley

D4RL is associated with UC Berkeley through its documented source context.

Machine readable layer

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

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    "identifier": "ENT-00001846",
    "name": "D4RL",
    "alternateName": [],
    "additionalType": "AI Dataset",
    "description": "D4RL is a offline reinforcement learning benchmark associated with UC Berkeley.",
    "creator": "UC Berkeley",
    "url": "entity.php?id=ENT-00001846",
    "sameAs": "https://github.com/Farama-Foundation/D4RL",
    "lxkeysWorld": {
        "classification": "offline reinforcement learning benchmark",
        "organization": "UC Berkeley",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
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            "structure": 25,
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        },
        "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",
            "reviewed_utc": "2026-06-16T23:59:29+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Reinforcement learning",
            "Embodied evaluation",
            "Research reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Robotics",
            "Benchmark",
            "Agentic Systems"
        ],
        "timeline": [
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                "title": "D4RL public documentation anchor",
                "description": "D4RL appears in public documentation or stable reference sources as a offline reinforcement learning benchmark associated with UC Berkeley."
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        "sources": [
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                "verification_status": "verified"
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}

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