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Principle:Farama Foundation Gymnasium Environment Registration

From Leeroopedia
Knowledge Sources
Domains Reinforcement_Learning, Environment_Management
Last Updated 2026-02-15 03:00 GMT

Overview

A registration pattern that maps string identifiers to environment entry points in a global registry, enabling discovery and standardized instantiation.

Description

Environment Registration associates a human-readable string ID with the code that creates an environment. The ID follows the format [namespace/]env_name[-vN] where namespace groups related environments and version enables reproducibility across releases.

Registration provides:

  • Namespace isolation: Third-party environments use namespaces to avoid ID collisions
  • Default configuration: Default kwargs, max episode steps, and wrapper specs are stored in the spec
  • Plugin architecture: Environments can register via Python entry points at install time
  • Vectorization support: Separate vector entry points can be registered for optimized batched implementations

Usage

Use registration when creating custom environments that you want to instantiate via gymnasium.make(id). Register environments in your package's __init__.py or via setuptools entry points for third-party packages.

Theoretical Basis

The registry pattern provides late binding between identifiers and implementations:

# Abstract algorithm
registry = {}

def register(id, entry_point, **config):
    registry[id] = EnvSpec(id, entry_point, config)

def make(id, **kwargs):
    spec = registry[id]
    env = spec.entry_point(**{**spec.kwargs, **kwargs})
    return apply_wrappers(env, spec)

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