PCGRL OpenAI GYM Interface
Authors:
- Ahmed Khalifa
- Philip Bontrager
- Sam Earle
- Julian Togelius
Date Archived:
19 October 2020
Accompanying Paper:
PCGRL: Procedural Content Generation via Reinforcement Learning
Artifact URL:
http://aiide.org/artifacts/files/pcgrl.zip
Alternative URL:
https://github.com/amidos2006/gym-pcgrl
Description:
An OpenAI GYM environment for Procedural Content Generation via Reinforcement Learning (PCGRL).
How to Cite This Artifact
The examples below show how to cite this page, but when referring to this work, many authors will prefer that you cite the accompanying paper linked above.
AAAI Style
Khalifa, A. et al. 2020. PCGRL OpenAI GYM Interface. http://aiide.org/artifacts/pcgrl. Accessed 23 November 2024.
IEEE Style
A. Khalifa et al., "PCGRL OpenAI GYM Interface," 2020. [Online]. Available: http://aiide.org/artifacts/pcgrl. [Accessed Nov 23, 2024].
BiBTeX Entry
@misc{pcgrl, author={Khalifa, Ahmed and Bontrager, Philip and Earle, Sam and Togelius, Julian}, title={PCGRL OpenAI GYM Interface}, howpublished={\url{http://aiide.org/artifacts/pcgrl}}, year={2020}, note={Accessed 23 November 2024} }