Minigrid & miniworld: modular & customizable reinforcement learning environments for goal-oriented tasks
Minigrid & miniworld: modular & customizable reinforcement learning environments for goal-oriented tasks
We present the Minigrid and Miniworld libraries which provide a suite of
goal-oriented 2D and 3D environments. The libraries were explicitly
created with a minimalistic design paradigm to allow users to rapidly
develop new environments for a wide range of research-specific needs. As
a result, both have received widescale adoption by the RL community,
facilitating research in a wide range of areas. In this paper, we
outline the design philosophy, environment details, and their world
generation API. We also showcase the additional capabilities brought by
the unified API between Minigrid and Miniworld through case studies on
transfer learning (for both RL agents and humans) between the different
observation spaces. The source code of Minigrid and Miniworld can be
found at https://github.com/Farama-Foundation/{Minigrid, Miniworld}
along with their documentation at https://{minigrid,
miniworld}.farama.org/.
Computer Science - Machine Learning
Neural Information Processing Systems Foundation
Chevalier-Boisvert, Maxime
37ecc2ba-1f19-4875-bb53-ead13c373f21
Dai, Bolun
26eeb823-f029-48df-85f2-55be3731a1e0
Towers, Mark
18e6acc7-29c4-4d0c-9058-32d180ad4f12
de Lazcano, Rodrigo
8cac3e42-07fc-427d-8ce6-4431b25c0c7f
Willems, Lucas
aa237ba1-9df2-41f9-afbe-8cc8c57e2030
Lahlou, Salem
3c4291bd-8b7c-4616-bd99-2cce012a0dfd
Pal, Suman
3ebb67b2-4932-40b7-bc1e-5e0e4eb6aeb5
Castro, Pablo Samuel
7801c3a8-2a71-4240-b9dc-07784dc10692
Terry, Jordan
b8c1b91b-5473-449b-8733-c23f96f7424b
1 June 2023
Chevalier-Boisvert, Maxime
37ecc2ba-1f19-4875-bb53-ead13c373f21
Dai, Bolun
26eeb823-f029-48df-85f2-55be3731a1e0
Towers, Mark
18e6acc7-29c4-4d0c-9058-32d180ad4f12
de Lazcano, Rodrigo
8cac3e42-07fc-427d-8ce6-4431b25c0c7f
Willems, Lucas
aa237ba1-9df2-41f9-afbe-8cc8c57e2030
Lahlou, Salem
3c4291bd-8b7c-4616-bd99-2cce012a0dfd
Pal, Suman
3ebb67b2-4932-40b7-bc1e-5e0e4eb6aeb5
Castro, Pablo Samuel
7801c3a8-2a71-4240-b9dc-07784dc10692
Terry, Jordan
b8c1b91b-5473-449b-8733-c23f96f7424b
Chevalier-Boisvert, Maxime, Dai, Bolun, Towers, Mark, de Lazcano, Rodrigo, Willems, Lucas, Lahlou, Salem, Pal, Suman, Castro, Pablo Samuel and Terry, Jordan
(2023)
Minigrid & miniworld: modular & customizable reinforcement learning environments for goal-oriented tasks.
Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. and Levine, S.
(eds.)
In Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
Neural Information Processing Systems Foundation.
12 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
We present the Minigrid and Miniworld libraries which provide a suite of
goal-oriented 2D and 3D environments. The libraries were explicitly
created with a minimalistic design paradigm to allow users to rapidly
develop new environments for a wide range of research-specific needs. As
a result, both have received widescale adoption by the RL community,
facilitating research in a wide range of areas. In this paper, we
outline the design philosophy, environment details, and their world
generation API. We also showcase the additional capabilities brought by
the unified API between Minigrid and Miniworld through case studies on
transfer learning (for both RL agents and humans) between the different
observation spaces. The source code of Minigrid and Miniworld can be
found at https://github.com/Farama-Foundation/{Minigrid, Miniworld}
along with their documentation at https://{minigrid,
miniworld}.farama.org/.
Other
pdf
- Author's Original
More information
Published date: 1 June 2023
Keywords:
Computer Science - Machine Learning
Identifiers
Local EPrints ID: 488105
URI: http://eprints.soton.ac.uk/id/eprint/488105
PURE UUID: a83c39b1-446a-4ec2-bb71-799f6482c080
Catalogue record
Date deposited: 15 Mar 2024 17:46
Last modified: 10 Apr 2024 02:04
Export record
Contributors
Author:
Maxime Chevalier-Boisvert
Author:
Bolun Dai
Author:
Mark Towers
Author:
Rodrigo de Lazcano
Author:
Lucas Willems
Author:
Salem Lahlou
Author:
Suman Pal
Author:
Pablo Samuel Castro
Author:
Jordan Terry
Editor:
A. Oh
Editor:
T. Neumann
Editor:
A. Globerson
Editor:
K. Saenko
Editor:
M. Hardt
Editor:
S. Levine
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