A Global Health Gym Environment for RL Applications

被引：0

作者：

Remy, Sekou L. ^{[1
]}

Bent, Oliver ^{[1
]}

机构：

[1] IBM Res Africa, Nairobi, Kenya

来源：

NEURIPS 2019 COMPETITION AND DEMONSTRATION TRACK, VOL 123 | 2019年 / 123卷

关键词：

Competition; Reinforcement Learning; Global Health; Malaria;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：253 / 261

页数：9

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