NL
ENT-00001852 · Benchmark

NetHack Learning Environment

NetHack Learning Environment is a AI benchmark associated with Meta AI, classified in LXKeys.world as AI Benchmark / Evaluation.

Level IV ConnectedActiveDocumented
Human record

Overview

NetHack Learning Environment is a documented AI dataset or benchmark associated with Meta AI. 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. 2020Initial benchmark release

    NetHack Learning Environment entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Reinforcement learningEmbodied evaluationResearch reference

Known limitations

Benchmark scores depend on the exact dataset version, prompt or evaluation protocol, scoring implementation and contamination controls.Leaderboard performance should not be treated as a complete measure of real-world capability or safety.Benchmark relevance can decline as models, data and evaluation practices evolve.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for NetHack Learning Environment. Entity type: Benchmark; classification: AI Benchmark / Evaluation; creator/organization context: Facebook AI Research. Canonical source anchor: https://github.com/facebookresearch/nle. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

RoboticsBenchmarkAgentic Systems
Relationship graph

NetHack Learning Environment

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NetHack Learning Environment
Published byOutgoing
Meta AI

NetHack Learning Environment is associated with Meta AI through its documented source context.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

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    "creator": "Facebook AI Research",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001852&lang=en",
    "sameAs": "https://github.com/facebookresearch/nle",
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        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
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