Minigrid
E438354
Minigrid is a lightweight, gridworld-based reinforcement learning environment suite commonly used for research on sample-efficient learning and generalization.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Minigrid canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4425289 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minigrid Context triple: [Gymnasium, relatedTo, Minigrid]
-
A.
The Grid
The Grid is a science fiction television miniseries known for its focus on counterterrorism and international security operations.
-
B.
the Maze
The Maze was the informal name for Long Kesh prison in Northern Ireland, a high-security facility central to the Troubles and known for housing paramilitary prisoners and hunger strikers.
-
C.
Codey Arena
Codey Arena is a public ice skating and hockey facility in West Orange, New Jersey, known for hosting local teams, events, and recreational skating.
-
D.
Crawlerway
Crawlerway is the massive, specially engineered roadway at NASA’s Kennedy Space Center used to transport rockets and spacecraft atop crawler-transporters between assembly and launch pads.
-
E.
Maifeld
Maifeld is a large open-air field and stadium area in Berlin, Germany, historically used for major sporting and ceremonial events, including competitions during the 1936 Summer Olympics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minigrid Target entity description: Minigrid is a lightweight, gridworld-based reinforcement learning environment suite commonly used for research on sample-efficient learning and generalization.
-
A.
The Grid
The Grid is a science fiction television miniseries known for its focus on counterterrorism and international security operations.
-
B.
the Maze
The Maze was the informal name for Long Kesh prison in Northern Ireland, a high-security facility central to the Troubles and known for housing paramilitary prisoners and hunger strikers.
-
C.
Codey Arena
Codey Arena is a public ice skating and hockey facility in West Orange, New Jersey, known for hosting local teams, events, and recreational skating.
-
D.
Crawlerway
Crawlerway is the massive, specially engineered roadway at NASA’s Kennedy Space Center used to transport rockets and spacecraft atop crawler-transporters between assembly and launch pads.
-
E.
Maifeld
Maifeld is a large open-air field and stadium area in Berlin, Germany, historically used for major sporting and ceremonial events, including competitions during the 1936 Summer Olympics.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Python software library
ⓘ
gridworld environment ⓘ reinforcement learning environment suite ⓘ |
| actionSpaceType | discrete ⓘ |
| compatibleWith |
OpenAI Gym interface
ⓘ
linked to:
OpenAI Gym
|
| designedFor |
researchers
ⓘ
students ⓘ |
| focusesOn |
generalization in reinforcement learning
ⓘ
sample-efficient learning ⓘ |
| hasAuthor |
Lucas Willems
ⓘ
Maxime Chevalier-Boisvert ⓘ other open-source contributors ⓘ |
| hasDocumentation | online documentation ⓘ |
| hasEnvironment |
DoorKey environment
ⓘ
Dynamic-Obstacles environment ⓘ Empty environment ⓘ Fetch environment ⓘ FourRooms environment ⓘ GoToObject environment ⓘ LavaGap environment ⓘ Memory environment ⓘ MultiRoom environment ⓘ |
| hasFeature |
fast simulation
ⓘ
lightweight implementation ⓘ minimal dependencies ⓘ simple configurable environments ⓘ support for Gym-like API ⓘ |
| hasLicense | MIT License ⓘ |
| isBasedOn | gridworld ⓘ |
| isOpenSource | true ⓘ |
| observationType |
partially observable RGB image
ⓘ
symbolic grid encoding ⓘ |
| programmingLanguage | Python ⓘ |
| provides |
benchmark environments for RL research
ⓘ
multiple gridworld tasks ⓘ |
| repositoryPlatform | GitHub ⓘ |
| stateRepresentation | grid-based ⓘ |
| supports |
curriculum learning setups
ⓘ
discrete action spaces ⓘ partially observable environments ⓘ procedurally generated environments ⓘ sparse reward tasks ⓘ |
| supportsAgent | single agent ⓘ |
| usedFor |
algorithm benchmarking
ⓘ
curriculum learning experiments ⓘ exploration research ⓘ generalization studies ⓘ reinforcement learning research ⓘ representation learning research ⓘ sample efficiency evaluation ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Minigrid Description of subject: Minigrid is a lightweight, gridworld-based reinforcement learning environment suite commonly used for research on sample-efficient learning and generalization.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.