Applications of reinforcement learning in the field of resource optimization

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.

Keywords

• reinforcement learning;resource optimization;multi-agent system