ENT-00001468 · AI Research System

Acme

Acme is a reinforcement learning framework associated with DeepMind.

Level IV — ConnectedActiveStructured

Human readable record

Overview

Acme is a reinforcement learning framework associated with DeepMind. The entity is included because it represents a distinct public model, architecture, benchmark, dataset or AI research system with an identifiable source base and documented role.

Timeline

2020Acme public release or documentation
Acme appears in public documentation as a reinforcement learning framework associated with DeepMind.

Capabilities

Documented AI capabilityResearch or product source anchorModel or system lineageRelationship mapping

Known limitations

Capabilities depend on version, training data, deployment configuration and evaluation setting.The record documents public identity and source context rather than private implementation details.

Technical and registry detail

Technical description

Structured record for Acme. The technical layer captures creator, release period, source anchor, system category, capability profile, limitations and relationships to adjacent models, platforms, benchmarks or research systems.

Controlled tags

AI Research SystemDocumented EntityContemporaryBatch 03 Candidate

Relationship graph

Acme

Created or maintained byDeepMind

Acme is associated with DeepMind.

Machine readable layer

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

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    "@type": "Thing",
    "identifier": "ENT-00001468",
    "name": "Acme",
    "alternateName": [],
    "additionalType": "AI Research System",
    "description": "Acme is a reinforcement learning framework associated with DeepMind.",
    "creator": "DeepMind",
    "url": "entity.php?id=ENT-00001468",
    "sameAs": "https://github.com/google-deepmind/acme",
    "lxkeysWorld": {
        "classification": "reinforcement learning framework",
        "organization": "DeepMind",
        "originContext": "AI model, architecture and research record",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Documented AI capability",
            "Research or product source anchor",
            "Model or system lineage",
            "Relationship mapping"
        ],
        "limitations": [
            "Capabilities depend on version, training data, deployment configuration and evaluation setting.",
            "The record documents public identity and source context rather than private implementation details."
        ],
        "tags": [
            "AI Research System",
            "Documented Entity",
            "Contemporary",
            "Batch 03 Candidate"
        ],
        "timeline": [
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                "date": "2020",
                "title": "Acme public release or documentation",
                "description": "Acme appears in public documentation as a reinforcement learning framework associated with DeepMind."
            }
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        "relationships": [
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        "sources": [
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                "label": "Acme public reference",
                "url": "https://github.com/google-deepmind/acme",
                "source_type": "Official or Research Source",
                "verification_status": "verified"
            }
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}

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