ORSuite: Benchmarking Suite for Sequential Operations Models

Reinforcement learning (RL) has received widespread attention across multiple communities, but the experiments have focused primarily on large-scale game playing and robotics tasks. In this paper we introduce ORSuite, an open-source library containing environments, algorithms, and instrumentation fo...

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Bibliographic Details
Published in:Performance evaluation review 2022-01, Vol.49 (2), p.57-61
Main Authors: Archer, Christopher, Banerjee, Siddhartha, Cortez, Mayleen, Rucker, Carrie, Sinclair, Sean R., Solberg, Max, Xie, Qiaomin, Lee Yu, Christina
Format: Article
Language:English
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Summary:Reinforcement learning (RL) has received widespread attention across multiple communities, but the experiments have focused primarily on large-scale game playing and robotics tasks. In this paper we introduce ORSuite, an open-source library containing environments, algorithms, and instrumentation for operational problems. Our package is designed to motivate researchers in the reinforcement learning community to develop and evaluate algorithms on operational tasks, and to consider the true multi-objective nature of these problems by considering metrics beyond cumulative reward.
ISSN:0163-5999
DOI:10.1145/3512798.3512819