A Global Health Gym Environment for RL Applications

Sekou L. Remy, Oliver Bent
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:253-261, 2020.

Abstract

This paper presents a platform for engaging in global health challenges, captured in the form of an OpenAI Gym styled environment. This platform has been used in three competitive challenges in 2019, and exposes a novel application domain for RL practitioners, along with the potential for significant social and scientific impact. While the platform has been demonstrated with problem formulations in global health, it is principally designed to facilitate general learning from simulation in a more abstract manner.

Cite this Paper

BibTeX
@InProceedings{pmlr-v123-remy20a, title = {A Global Health Gym Environment for RL Applications}, author = {Remy, Sekou L. and Bent, Oliver}, booktitle = {Proceedings of the NeurIPS 2019 Competition and Demonstration Track}, pages = {253--261}, year = {2020}, editor = {Escalante, Hugo Jair and Hadsell, Raia}, volume = {123}, series = {Proceedings of Machine Learning Research}, month = {08--14 Dec}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v123/remy20a/remy20a.pdf}, url = {https://proceedings.mlr.press/v123/remy20a.html}, abstract = {This paper presents a platform for engaging in global health challenges, captured in the form of an OpenAI Gym styled environment. This platform has been used in three competitive challenges in 2019, and exposes a novel application domain for RL practitioners, along with the potential for significant social and scientific impact. While the platform has been demonstrated with problem formulations in global health, it is principally designed to facilitate general learning from simulation in a more abstract manner.} }
Endnote
%0 Conference Paper %T A Global Health Gym Environment for RL Applications %A Sekou L. Remy %A Oliver Bent %B Proceedings of the NeurIPS 2019 Competition and Demonstration Track %C Proceedings of Machine Learning Research %D 2020 %E Hugo Jair Escalante %E Raia Hadsell %F pmlr-v123-remy20a %I PMLR %P 253--261 %U https://proceedings.mlr.press/v123/remy20a.html %V 123 %X This paper presents a platform for engaging in global health challenges, captured in the form of an OpenAI Gym styled environment. This platform has been used in three competitive challenges in 2019, and exposes a novel application domain for RL practitioners, along with the potential for significant social and scientific impact. While the platform has been demonstrated with problem formulations in global health, it is principally designed to facilitate general learning from simulation in a more abstract manner.
APA
Remy, S.L. & Bent, O.. (2020). A Global Health Gym Environment for RL Applications. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, in Proceedings of Machine Learning Research 123:253-261 Available from https://proceedings.mlr.press/v123/remy20a.html.

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