ENT-00002421 · AI System

Deep Q-Network

Deep Q-Network is a reinforcement learning system associated with DeepMind.

Level V — PersistentActiveDocumented

Human readable record

Overview

Deep Q-Network is an AI model or research system associated with DeepMind. It is documented as deep reinforcement learning system for Atari games.

Timeline

2015Public release or publication
Deep Q-Network appears in public documentation or research records associated with DeepMind.

Capabilities

AI model or research system documentationPublic source anchoringMachine-learning capability referenceRelationship graph compatibilityMachine-readable metadata

Known limitations

Model behavior depends on version, deployment settings and usage context.Capabilities should be interpreted through the linked model card, official documentation or research source.

Technical and registry detail

Technical description

Structured AI model record for Deep Q-Network. The technical layer identifies the model family or research role, creator, organization, public source, timeline, capabilities, limitations and relationship targets.

Controlled tags

AI HistoryAI ModelReinforcement LearningReinforcement Learning System

Relationship graph

Deep Q-Network

Associated organizationDeepMind

DeepMind is the organization or institutional context associated with Deep Q-Network.

ClassificationReinforcement Learning System

Deep Q-Network is classified as Reinforcement Learning System.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002421",
    "name": "Deep Q-Network",
    "alternateName": [],
    "additionalType": "AI System",
    "description": "Deep Q-Network is a reinforcement learning system associated with DeepMind.",
    "creator": "DeepMind",
    "url": "entity.php?id=ENT-00002421",
    "sameAs": "https://www.nature.com/articles/nature14236",
    "lxkeysWorld": {
        "classification": "Reinforcement Learning System",
        "organization": "DeepMind",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2015",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "reviewed_utc": "2026-06-17T01:33:48+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "capabilities": [
            "AI model or research system documentation",
            "Public source anchoring",
            "Machine-learning capability reference",
            "Relationship graph compatibility",
            "Machine-readable metadata"
        ],
        "limitations": [
            "Model behavior depends on version, deployment settings and usage context.",
            "Capabilities should be interpreted through the linked model card, official documentation or research source."
        ],
        "tags": [
            "AI History",
            "AI Model",
            "Reinforcement Learning",
            "Reinforcement Learning System"
        ],
        "timeline": [
            {
                "date": "2015",
                "title": "Public release or publication",
                "description": "Deep Q-Network appears in public documentation or research records associated with DeepMind."
            }
        ],
        "relationships": [
            {
                "target": "DeepMind",
                "type": "Associated organization",
                "description": "DeepMind is the organization or institutional context associated with Deep Q-Network.",
                "evidence_level": "documentary"
            },
            {
                "target": "Reinforcement Learning System",
                "type": "Classification",
                "description": "Deep Q-Network is classified as Reinforcement Learning System.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://www.nature.com/articles/nature14236",
                "source_type": "Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}

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