PettingZoo
E95191
PettingZoo is a Python library that provides a standardized interface and tools for developing, running, and benchmarking multi-agent reinforcement learning environments.
All labels observed (4)
| Label | Occurrences |
|---|---|
| PettingZoo canonical | 8 |
| PettingZoo AEC environments | 1 |
| PettingZoo API suite | 1 |
| PettingZoo library | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T805158 — 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: PettingZoo Context triple: [OpenAI Gym, influenced, PettingZoo]
-
A.
ZonaZoo
ZonaZoo is the University of Arizona’s official student cheering section, known for its large, energetic support of Wildcats athletic events, especially football.
-
B.
Children’s Zoo
The Children’s Zoo is a family-focused area of the San Diego Zoo designed to give kids interactive, close-up experiences with animals and nature.
-
C.
Children’s Zoo
The Children’s Zoo is a family-focused area of the Saint Louis Zoo designed to give kids interactive, hands-on experiences with animals and nature-themed play.
-
D.
El gran zoo
El gran zoo is a celebrated poetry collection by Cuban writer Nicolás Guillén that uses the metaphor of a fantastical zoo to deliver sharp social and political satire.
-
E.
Zoommeer
Zoommeer is a Dutch lake in the province of Zeeland, created as part of the Delta Works water management project.
- 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: PettingZoo Target entity description: PettingZoo is a Python library that provides a standardized interface and tools for developing, running, and benchmarking multi-agent reinforcement learning environments.
-
A.
ZonaZoo
ZonaZoo is the University of Arizona’s official student cheering section, known for its large, energetic support of Wildcats athletic events, especially football.
-
B.
Children’s Zoo
The Children’s Zoo is a family-focused area of the San Diego Zoo designed to give kids interactive, close-up experiences with animals and nature.
-
C.
Children’s Zoo
The Children’s Zoo is a family-focused area of the Saint Louis Zoo designed to give kids interactive, hands-on experiences with animals and nature-themed play.
-
D.
El gran zoo
El gran zoo is a celebrated poetry collection by Cuban writer Nicolás Guillén that uses the metaphor of a fantastical zoo to deliver sharp social and political satire.
-
E.
Zoommeer
Zoommeer is a Dutch lake in the province of Zeeland, created as part of the Delta Works water management project.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Python library
ⓘ
multi-agent reinforcement learning framework ⓘ |
| aimsTo |
improve reproducibility in multi-agent reinforcement learning research
ⓘ
simplify comparison of multi-agent RL algorithms ⓘ |
| compatibleWith |
RLlib
ⓘ
Stable-Baselines3 (via wrappers) ⓘ
linked to:
Stable Baselines
Tianshou ⓘ |
| documentationURL | https://pettingzoo.farama.org ⓘ |
| domain | artificial intelligence ⓘ |
| focusesOn | standardization of multi-agent RL interfaces ⓘ |
| hasAPIStyle |
AEC API
ⓘ
classic API ⓘ parallel API ⓘ |
| hasEnvironmentType |
Atari multi-agent environments
ⓘ
linked to:
Arcade Learning Environment
MPE (Multi-Agent Particle Environments) ⓘ board games ⓘ butterfly environments ⓘ classic control ⓘ |
| hasFeature |
environment versioning
ⓘ
seeding for reproducible experiments ⓘ support for vectorized environments ⓘ wrappers for environment preprocessing ⓘ |
| hostedOn | GitHub ⓘ |
| inspiredBy | OpenAI Gym ⓘ |
| license | MIT License ⓘ |
| maintainer | Farama Foundation ⓘ |
| partOf | Farama Foundation ecosystem ⓘ |
| programmingLanguage | Python ⓘ |
| provides |
standardized interface for multi-agent environments
ⓘ
tools for benchmarking multi-agent environments ⓘ tools for developing multi-agent environments ⓘ tools for running multi-agent environments ⓘ |
| relatedTo |
Gymnasium
ⓘ
SuperSuit ⓘ |
| subdomain |
multi-agent systems
ⓘ
reinforcement learning ⓘ |
| supports | multi-agent reinforcement learning environments ⓘ |
| supportsActionSpace |
continuous action spaces
ⓘ
discrete action spaces ⓘ |
| supportsAgents |
competitive agents
ⓘ
cooperative agents ⓘ mixed cooperative-competitive agents ⓘ |
| supportsObservationSpace |
continuous observation spaces
ⓘ
discrete observation spaces ⓘ |
| usedFor |
benchmarking multi-agent RL algorithms
ⓘ
education in reinforcement learning ⓘ research in multi-agent reinforcement learning ⓘ |
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: PettingZoo Description of subject: PettingZoo is a Python library that provides a standardized interface and tools for developing, running, and benchmarking multi-agent reinforcement learning environments.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: PettingZoo