强化学习在资源优化领域的应用

doi:10.11959/j.issn.2096-0271.2021053

Abstract

Abstract:

Resource optimization is an important problem that widely exists in the social operation and economic development.There is massive data accumulated in this field which has laid the foundation for more and more application of reinforcement learning.Due to the wide coverage of resource optimization problems, three important problems from the wide range of resource optimization problems were categorized and chosen, namely resource balancing problem, resource allocation problem, and bin packing problem.The problem formulation and the reinforcement learning agent modeling of these three types of problems were introduced in detail.

Key words: reinforcement learning, resource optimization, multi-agent system

CLC Number:

TP399

Jinyu WANG, Xinran WEI, Wenlei SHI, Jia ZHANG. Applications of reinforcement learning in the field of resource optimization[J]. Big Data Research, 2021, 7(5): 131-149.

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