AEC API
E438348
AEC API is an agent-environment cycle programming interface style used in PettingZoo for turn-based multi-agent reinforcement learning environments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| AEC API canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4425205 — 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: AEC API Context triple: [PettingZoo, hasAPIStyle, AEC API]
-
A.
AEC
AEC was the common abbreviation for the United States Atomic Energy Commission, the federal agency that oversaw nuclear energy development and regulation in the mid-20th century.
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B.
AEC
AEC is a European network and advocacy organization representing higher music education institutions such as conservatoires, academies, and music universities.
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C.
AEC
AEC is the independent federal agency responsible for conducting national elections and maintaining the electoral roll in Australia.
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D.
AEC
AEC is a regional economic integration initiative among ASEAN member states aimed at creating a single market and production base to enhance competitiveness and economic growth in Southeast Asia.
-
E.
ATEC
ATEC is a U.S. Army command responsible for testing and evaluating military equipment, systems, and technologies to ensure they are effective and reliable for operational use.
- 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: AEC API Target entity description: AEC API is an agent-environment cycle programming interface style used in PettingZoo for turn-based multi-agent reinforcement learning environments.
-
A.
AEC
AEC was the common abbreviation for the United States Atomic Energy Commission, the federal agency that oversaw nuclear energy development and regulation in the mid-20th century.
-
B.
AEC
AEC is a European network and advocacy organization representing higher music education institutions such as conservatoires, academies, and music universities.
-
C.
AEC
AEC is a regional economic integration initiative among ASEAN member states aimed at creating a single market and production base to enhance competitiveness and economic growth in Southeast Asia.
-
D.
AEC
AEC is the independent federal agency responsible for conducting national elections and maintaining the electoral roll in Australia.
-
E.
ATEC
ATEC is a U.S. Army command responsible for testing and evaluating military equipment, systems, and technologies to ensure they are effective and reliable for operational use.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
agent-environment cycle API
ⓘ
multi-agent reinforcement learning API ⓘ programming interface style ⓘ |
| compatibleWith |
OpenAI Gym-style reinforcement learning tooling
ⓘ
linked to:
OpenAI Gym
|
| contrastedWith | parallel API in PettingZoo ⓘ |
| definesAttribute |
agent_selection
ⓘ
agents list ⓘ dones ⓘ infos ⓘ rewards ⓘ |
| definesFunction |
observe
ⓘ
reset ⓘ step ⓘ |
| designedFor | turn-based multi-agent reinforcement learning environments ⓘ |
| documentedAt | https://pettingzoo.farama.org/api/aec_api/ ⓘ |
| enforces |
deterministic agent ordering
ⓘ
single active agent per step ⓘ |
| hasConcept |
agent turn order
ⓘ
agent-environment cycle ⓘ step-by-step environment updates ⓘ |
| hasFeature |
explicit agent selection mechanism
ⓘ
per-agent actions ⓘ per-agent done flags ⓘ per-agent info dictionaries ⓘ per-agent observations ⓘ per-agent rewards ⓘ |
| maintainedBy | Farama Foundation ⓘ |
| originatedIn |
PettingZoo library
ⓘ
linked to:
PettingZoo
|
| partOf |
PettingZoo API suite
ⓘ
linked to:
PettingZoo
|
| programmingLanguage | Python ⓘ |
| supports |
multi-agent environments
ⓘ
sequential agent actions ⓘ turn-based interaction between agents and environment ⓘ |
| supportsEnvironmentType |
board games
ⓘ
card games ⓘ other turn-based multi-agent tasks ⓘ |
| targetAudience |
multi-agent reinforcement learning researchers
ⓘ
reinforcement learning practitioners ⓘ |
| usedBy |
PettingZoo AEC environments
ⓘ
linked to:
PettingZoo
|
| usedFor |
benchmarking multi-agent algorithms
ⓘ
implementing turn-based games as MARL environments ⓘ research in multi-agent reinforcement learning ⓘ |
| usedIn | PettingZoo ⓘ |
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: AEC API Description of subject: AEC API is an agent-environment cycle programming interface style used in PettingZoo for turn-based multi-agent reinforcement learning environments.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.