M
ENT-00001848 · AI Benchmark

MiniGrid

MiniGrid is a gridworld reinforcement learning environment associated with Farama Foundation.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

MiniGrid is a documented AI dataset or benchmark associated with Farama Foundation. 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

  1. 2017MiniGrid public documentation anchor

    MiniGrid appears in public documentation or stable reference sources as a gridworld reinforcement learning environment associated with Farama Foundation.

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 MiniGrid. 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://minigrid.farama.org/.

Controlled tags

RoboticsBenchmarkAgentic Systems
Relationship graph
MiniGrid
Published byFarama Foundation

MiniGrid is associated with Farama Foundation through its documented source context.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001848",
    "name": "MiniGrid",
    "alternateName": [],
    "additionalType": "AI Benchmark",
    "description": "MiniGrid is a gridworld reinforcement learning environment associated with Farama Foundation.",
    "creator": "Farama Foundation",
    "url": "entity.php?id=ENT-00001848",
    "sameAs": "https://minigrid.farama.org/",
    "lxkeysWorld": {
        "classification": "gridworld reinforcement learning environment",
        "organization": "Farama Foundation",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2017",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+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": [
            {
                "date": "2017",
                "title": "MiniGrid public documentation anchor",
                "description": "MiniGrid appears in public documentation or stable reference sources as a gridworld reinforcement learning environment associated with Farama Foundation."
            }
        ],
        "relationships": [
            {
                "target": "Farama Foundation",
                "type": "Published by",
                "description": "MiniGrid is associated with Farama Foundation through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official project page or repository",
                "url": "https://minigrid.farama.org/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

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