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Trunchbull
Not yet importedRequires sandbox

MiniHack

Upstream publisher Meta AI Researchfacebookresearch/minihack

Short NetHack-derived tasks for navigation, exploration, combat, and object interaction under controlled episode budgets.

simulationplanninggamessandbox
PROVENANCEUPSTREAM RECORD
Trunchbull port
Not packaged
Version
UPSTREAM
Release digest
Not compiled
License
MIT
Source commit: Upstream head not pinnedPublished Indexed July 30, 2026

WHAT THIS PROJECT MEASURES

README

MiniHack provides bounded tasks on top of the NetHack engine. Its shorter episodes make reset behavior, observations, action handling, and reward capture easier to validate than full NetHack.

It is the sensible bridge to the NetHack Learning Environment and should be imported first.

EXECUTION CONTRACT

Requires a NetHack-compatible sandbox, seeded resets, terminal or structured observations, and episodic rewards.

TRUNCHBULL AVAILABILITY

Import status

Not yet imported

Not yet imported. MiniHack should precede full NLE so Trunchbull can validate the common control and scoring layer.

2 CASES

Evaluation cases

2

minihack/navigation

Navigation

Requires sandbox

Reach a goal through a seeded map under a bounded step budget.

NLE observationgame action

minihack/object-interaction

Object interaction

Requires sandbox

Use inventory and environment objects to satisfy a task condition.

NLE observationgame action

2 REQUESTED TOOLS

Tools

2

NLE observation

sandbox

Returns terminal or structured NetHack state.

Required

game action

sandbox

Applies a bounded NetHack action.

Required

MACHINE-READABLE PROVENANCE

Registry record

{
  "name": "MiniHack",
  "catalogOwner": null,
  "source": {
    "url": "https://github.com/facebookresearch/minihack",
    "version": "Upstream project",
    "commit": "Upstream head not pinned",
    "license": "MIT"
  },
  "port": null,
  "release": {
    "digest": "Not compiled",
    "lane": "sandbox",
    "sandboxRequired": true
  },
  "cases": [
    "minihack/navigation",
    "minihack/object-interaction"
  ],
  "tools": [
    "NLE observation",
    "game action"
  ]
}

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