Research on Performance Evaluation of Wargame System Based on Deep Reinforcement Learning

2Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Deep reinforcement learning combines the advantages of deep learning and reinforcement learning to make end-to-end perception decisions in complex high-dimensional state action spaces. The paper proposes a deep reinforcement learning method for the deduction of the wargame system, which can better assist the combat commander in wartime decision-making. The simulation proves the effectiveness of the method.

Cite

CITATION STYLE

APA

Shang, T., Wu, J., & Ma, J. (2019). Research on Performance Evaluation of Wargame System Based on Deep Reinforcement Learning. In Journal of Physics: Conference Series (Vol. 1302). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1302/3/032028

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free