A
ENT-00002424 · AI System

A3C

A3C is a ai algorithm associated with DeepMind.

Level V — PersistentActiveDocumented
Human readable record

Overview

A3C is an AI model or research system associated with DeepMind. It is documented as asynchronous advantage actor-critic algorithm.

Timeline

  1. 2016Public release or publication

    A3C 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 A3C. The technical layer identifies the model family or research role, creator, organization, public source, timeline, capabilities, limitations and relationship targets.

Controlled tags

AI ModelAlgorithmReinforcement LearningAI Algorithm
Relationship graph
A3C
Associated organizationDeepMind

DeepMind is the organization or institutional context associated with A3C.

ClassificationAI Algorithm

A3C is classified as AI Algorithm.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002424",
    "name": "A3C",
    "alternateName": [],
    "additionalType": "AI System",
    "description": "A3C is a ai algorithm associated with DeepMind.",
    "creator": "DeepMind",
    "url": "entity.php?id=ENT-00002424",
    "sameAs": "https://arxiv.org/abs/1602.01783",
    "lxkeysWorld": {
        "classification": "AI Algorithm",
        "organization": "DeepMind",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2016",
        "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 Model",
            "Algorithm",
            "Reinforcement Learning",
            "AI Algorithm"
        ],
        "timeline": [
            {
                "date": "2016",
                "title": "Public release or publication",
                "description": "A3C 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 A3C.",
                "evidence_level": "documentary"
            },
            {
                "target": "AI Algorithm",
                "type": "Classification",
                "description": "A3C is classified as AI Algorithm.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://arxiv.org/abs/1602.01783",
                "source_type": "Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}
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