D
ENT-00002362 · Dataset / Benchmark

dm_env

dm_env is a evaluation / robotics resource associated with DeepMind.

Level V — PersistentActiveDocumented
Human readable record

Overview

dm_env is a data or evaluation resource used in artificial intelligence research. It is associated with DeepMind and is documented as environment interface for reinforcement learning.

Timeline

  1. 2020Public release or publication

    dm_env appears in public documentation or research records associated with DeepMind.

Capabilities

Evaluation resource for AI systemsDataset or benchmark documentationMachine-learning task referenceSource-linked registry metadataRelationship graph compatibility

Known limitations

Coverage and licensing should be interpreted through the linked source record.Benchmark scores or dataset contents can evolve over time through external updates.
Technical and registry detail

Technical description

Structured dataset or benchmark record for dm_env. The technical layer identifies the resource category, originating organization, public source, evaluation context, related machine-learning tasks and registry-safe metadata.

Controlled tags

DatasetBenchmarkRoboticsEvaluation
Relationship graph
dm_env
Associated organizationDeepMind

DeepMind is the organization or institutional context associated with dm_env.

ClassificationEvaluation / Robotics Resource

dm_env is classified as Evaluation / Robotics Resource.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002362",
    "name": "dm_env",
    "alternateName": [],
    "additionalType": "Dataset / Benchmark",
    "description": "dm_env is a evaluation / robotics resource associated with DeepMind.",
    "creator": "DeepMind",
    "url": "entity.php?id=ENT-00002362",
    "sameAs": "https://github.com/google-deepmind/dm_env",
    "lxkeysWorld": {
        "classification": "Evaluation / Robotics Resource",
        "organization": "DeepMind",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2020",
        "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": [
            "Evaluation resource for AI systems",
            "Dataset or benchmark documentation",
            "Machine-learning task reference",
            "Source-linked registry metadata",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Coverage and licensing should be interpreted through the linked source record.",
            "Benchmark scores or dataset contents can evolve over time through external updates."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "Robotics",
            "Evaluation"
        ],
        "timeline": [
            {
                "date": "2020",
                "title": "Public release or publication",
                "description": "dm_env 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 dm_env.",
                "evidence_level": "documentary"
            },
            {
                "target": "Evaluation / Robotics Resource",
                "type": "Classification",
                "description": "dm_env is classified as Evaluation / Robotics Resource.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://github.com/google-deepmind/dm_env",
                "source_type": "Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

Contribute to this record

Submit a proof, correction or comment. Public display is moderated. Every submission remains preserved in the export archive.

Submit proof or comment

Approved comments

No approved public comment yet.