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Gymnasium: A Standard Interface for Reinforcement Learning Environments

24 July 2024
Mark Towers
Ariel Kwiatkowski
Jordan Terry
John U. Balis
Gianluca De Cola
Tristan Deleu
Manuel Goulão
Andreas Kallinteris
Markus Krimmel
KG Arjun
Rodrigo Perez-Vicente
Andrea Pierré
Sander Schulhoff
Jun Jet Tai
Hannah Tan
Omar G. Younis
    AuLLM
    OffRL
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Abstract

Gymnasium is an open-source library providing an API for reinforcement learning environments. Its main contribution is a central abstraction for wide interoperability between benchmark environments and training algorithms. Gymnasium comes with various built-in environments and utilities to simplify researchers' work along with being supported by most training libraries. This paper outlines the main design decisions for Gymnasium, its key features, and the differences to alternative APIs.

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