ENT-00002918 · Benchmark

MiniGrid FourRooms

MiniGrid FourRooms is a gridworld reinforcement learning environment associated with MiniGrid.

Level V — PersistentActiveDocumented

Human readable record

Overview

MiniGrid FourRooms is a MiniGrid reinforcement learning environment. It provides a compact symbolic or partially observable task for studying navigation, memory, instruction following and sequential decision-making.

Timeline

2018Public release or documentation
MiniGrid FourRooms appears in public documentation, project records, benchmark descriptions or research references associated with MiniGrid.

Capabilities

Evaluation protocol documentationModel comparison supportTask taxonomy mappingReproducible benchmark anchoringRelationship graph compatibility

Known limitations

Benchmark results can become stale as models improve and evaluation protocols evolve.A benchmark measures a defined task scope rather than complete intelligence.

Technical and registry detail

Technical description

Structured record for MiniGrid FourRooms. The technical layer identifies the entity type, classification, creator or organization, official source anchor, capabilities, limitations, timeline entries and graph relationships without adding internal import events to the public history.

Controlled tags

BenchmarkReinforcement LearningGridworldAgent Evaluation

Relationship graph

MiniGrid FourRooms

Associated organizationMiniGrid

MiniGrid is the organization, project community or institutional context associated with MiniGrid FourRooms.

Domain contextReinforcement learning evaluation

MiniGrid FourRooms belongs to the Reinforcement learning evaluation layer of the intelligent-entity registry.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002918",
    "name": "MiniGrid FourRooms",
    "alternateName": [],
    "additionalType": "Benchmark",
    "description": "MiniGrid FourRooms is a gridworld reinforcement learning environment associated with MiniGrid.",
    "creator": "Farama Foundation",
    "url": "entity.php?id=ENT-00002918",
    "sameAs": "https://minigrid.farama.org/",
    "lxkeysWorld": {
        "classification": "Gridworld Reinforcement Learning Environment",
        "organization": "MiniGrid",
        "originContext": "Reinforcement learning evaluation",
        "firstPublicAppearance": "2018",
        "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": "2026-06-17T01:48:33+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:48:33+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "reviewed_utc": "2026-06-17T01:48:33+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "capabilities": [
            "Evaluation protocol documentation",
            "Model comparison support",
            "Task taxonomy mapping",
            "Reproducible benchmark anchoring",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Benchmark results can become stale as models improve and evaluation protocols evolve.",
            "A benchmark measures a defined task scope rather than complete intelligence."
        ],
        "tags": [
            "Benchmark",
            "Reinforcement Learning",
            "Gridworld",
            "Agent Evaluation"
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "Public release or documentation",
                "description": "MiniGrid FourRooms appears in public documentation, project records, benchmark descriptions or research references associated with MiniGrid."
            }
        ],
        "relationships": [
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                "type": "Associated organization",
                "description": "MiniGrid is the organization, project community or institutional context associated with MiniGrid FourRooms.",
                "evidence_level": "documentary"
            },
            {
                "target": "Reinforcement learning evaluation",
                "type": "Domain context",
                "description": "MiniGrid FourRooms belongs to the Reinforcement learning evaluation layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "MiniGrid documentation",
                "url": "https://minigrid.farama.org/",
                "source_type": "Research Source",
                "verification_status": "verified"
            }
        ]
    }
}

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