Principle:Farama Foundation Gymnasium Environment Registration
| 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)