The University of Southampton
University of Southampton Institutional Repository

Gymnasium

Gymnasium
Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Zenodo
Cola, Gianluca
c903dd0a-bc98-4d62-827d-080cca73ec44
Tai, Jun Jet
0a2da3bc-d0f5-4175-a061-c2bf6d1fde5a
Towers, Mark
18e6acc7-29c4-4d0c-9058-32d180ad4f12
Tan, Andrew Jin Shen
2dd0ef44-2ba2-4e23-9074-7d322882aa9f
Terry, Jordan K
b8c1b91b-5473-449b-8733-c23f96f7424b
Kwiatkowski, Ariel
8184d6a3-a46b-4f12-ae90-e027c617f7a1
Kallinteris, Andreas
c90537a7-2b96-4ef5-9669-ef345a5a57b0
Pierré, Andrea
37e95fc5-5a56-4243-b78b-46f9e7aac8a5
Goulão, Manuel
611fff2b-03d4-4b83-9141-c7b01f1a39fb
Arjun, KG
1259cff7-3214-40bb-9f04-29af4d54f369
Deleu, Tristan
aa6330a9-ebf8-4e8a-98e7-7d41e305772b
Krimmel, Markus
cbe72323-90f2-4c4c-a2cd-851f59bfdc8f
Schulhoff, Sander
537e1df1-73e6-4573-820d-b1ae8d8aa45e
Balis, John U.
ef2792e5-9e22-4191-b40f-e9a6250a34ac
Perez-Vicente, Rodrigo
857469af-02f3-4232-bb96-4c00b3255788
Younis, Omar G.
6c873651-ee6f-4cba-85c3-566d5d0589e6
Cola, Gianluca
c903dd0a-bc98-4d62-827d-080cca73ec44
Tai, Jun Jet
0a2da3bc-d0f5-4175-a061-c2bf6d1fde5a
Towers, Mark
18e6acc7-29c4-4d0c-9058-32d180ad4f12
Tan, Andrew Jin Shen
2dd0ef44-2ba2-4e23-9074-7d322882aa9f
Terry, Jordan K
b8c1b91b-5473-449b-8733-c23f96f7424b
Kwiatkowski, Ariel
8184d6a3-a46b-4f12-ae90-e027c617f7a1
Kallinteris, Andreas
c90537a7-2b96-4ef5-9669-ef345a5a57b0
Pierré, Andrea
37e95fc5-5a56-4243-b78b-46f9e7aac8a5
Goulão, Manuel
611fff2b-03d4-4b83-9141-c7b01f1a39fb
Arjun, KG
1259cff7-3214-40bb-9f04-29af4d54f369
Deleu, Tristan
aa6330a9-ebf8-4e8a-98e7-7d41e305772b
Krimmel, Markus
cbe72323-90f2-4c4c-a2cd-851f59bfdc8f
Schulhoff, Sander
537e1df1-73e6-4573-820d-b1ae8d8aa45e
Balis, John U.
ef2792e5-9e22-4191-b40f-e9a6250a34ac
Perez-Vicente, Rodrigo
857469af-02f3-4232-bb96-4c00b3255788
Younis, Omar G.
6c873651-ee6f-4cba-85c3-566d5d0589e6

(2023) Gymnasium. Zenodo doi:10.5281/zenodo.8127025 [Dataset]

Record type: Dataset

Abstract

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

This record has no associated files available for download.

More information

Published date: 14 July 2023

Identifiers

Local EPrints ID: 481100
URI: http://eprints.soton.ac.uk/id/eprint/481100
PURE UUID: ed58ab17-62e6-473d-8415-8f9ae645eb40
ORCID for Mark Towers: ORCID iD orcid.org/0000-0002-2609-2041

Catalogue record

Date deposited: 15 Aug 2023 16:53
Last modified: 16 Aug 2023 01:57

Export record

Altmetrics

Contributors

Contributor: Gianluca Cola
Contributor: Jun Jet Tai
Contributor: Mark Towers ORCID iD
Contributor: Andrew Jin Shen Tan
Contributor: Jordan K Terry
Contributor: Ariel Kwiatkowski
Contributor: Andreas Kallinteris
Contributor: Andrea Pierré
Contributor: Manuel Goulão
Contributor: KG Arjun
Contributor: Tristan Deleu
Contributor: Markus Krimmel
Contributor: Sander Schulhoff
Contributor: John U. Balis
Contributor: Rodrigo Perez-Vicente
Contributor: Omar G. Younis

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×