Env API
E95189
application programming interface
interface specification
reinforcement learning environment interface
Env API is the core interface specification in OpenAI Gym that standardizes how reinforcement learning environments interact with agents through methods like reset, step, and render.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Env API canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T805148 — 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: Env API Context triple: [OpenAI Gym, defines, Env API]
-
A.
Iron Browser
Iron Browser is a Chromium-based web browser focused on enhancing user privacy and security by stripping out many of Google Chrome’s tracking and data-collection features.
-
B.
Environment Section
The Environment Section is a specialized division within the American Public Health Association that focuses on environmental health issues, research, and policy to protect public health.
-
C.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
-
D.
Lambda platform
The Lambda platform is General Motors' unibody architecture used for its large crossover SUVs and minivans, underpinning models like the Chevrolet Traverse, GMC Acadia, and Buick Enclave.
-
E.
Eco
Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
- 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: Env API Target entity description: Env API is the core interface specification in OpenAI Gym that standardizes how reinforcement learning environments interact with agents through methods like reset, step, and render.
-
A.
Iron Browser
Iron Browser is a Chromium-based web browser focused on enhancing user privacy and security by stripping out many of Google Chrome’s tracking and data-collection features.
-
B.
Environment Section
The Environment Section is a specialized division within the American Public Health Association that focuses on environmental health issues, research, and policy to protect public health.
-
C.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
-
D.
Lambda platform
The Lambda platform is General Motors' unibody architecture used for its large crossover SUVs and minivans, underpinning models like the Chevrolet Traverse, GMC Acadia, and Buick Enclave.
-
E.
Eco
Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
application programming interface
ⓘ
interface specification ⓘ reinforcement learning environment interface ⓘ |
| allows | vectorized environment wrappers ⓘ |
| category | OpenAI Gym core component ⓘ |
| compatibleWith |
model-based algorithms
ⓘ
policy gradient algorithms ⓘ value-based algorithms ⓘ |
| definedIn | OpenAI Gym ⓘ |
| defines | environment interface for agents ⓘ |
| documentationAvailableAt | https://www.gymlibrary.dev/ ⓘ |
| enables | algorithm-environment interchangeability ⓘ |
| hasAttribute |
action_space
ⓘ
metadata ⓘ observation_space ⓘ reward_range ⓘ |
| hasMethod |
__init__
ⓘ
close ⓘ render ⓘ reset ⓘ seed ⓘ step ⓘ |
| hasVersion |
Gymnasium-compatible API
ⓘ
classic Gym API ⓘ |
| implementedBy | gym.Env base class ⓘ |
| influenced | design of many RL environment libraries ⓘ |
| maintainedBy |
OpenAI Gym
ⓘ
surface form:
OpenAI Gym project
|
| originatedIn | Python ecosystem ⓘ |
| primaryGoal | standardization of RL environment interfaces ⓘ |
| renderSupportsMode |
ansi
ⓘ
human ⓘ rgb_array ⓘ |
| requires | deterministic method signatures ⓘ |
| resetReturns | initial observation ⓘ |
| standardizes | interaction between agents and environments ⓘ |
| stepReturns |
done flag
ⓘ
info dictionary ⓘ observation ⓘ reward ⓘ |
| stepTakes | action ⓘ |
| supports |
continuing tasks
ⓘ
episodic tasks ⓘ |
| usedIn | 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: Env API Description of subject: Env API is the core interface specification in OpenAI Gym that standardizes how reinforcement learning environments interact with agents through methods like reset, step, and render.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.