Review of Reinforcement Learning Techniques

被引：0
|
作者：
Malpani, Mohit [1 ]
Mathew, Rejo [1 ]
机构：
[1] NMIMS Deemed Univ, Mukesh Patel Sch Technol Management & Engn, Dept IT, Mumbai, Maharashtra, India
来源：
PROCEEDING OF THE INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS, BIG DATA AND IOT (ICCBI-2018) | 2020年 / 31卷
关键词：
Cyber security game; Network; Agents; Standard network; Game procedure; Reinforcement learning; Neural Network;
D O I：
10.1007/978-3-030-24643-3_108
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper with the help of reinforcement learning techniques and its method helps to find the best techniques that can be used in cyber security to help defender protect the data against the attackers. The techniques have been used in a cyber security game and resulted in a game of an unfriendly consecutive decision making problem played between agents i.e. an attacker and a defender.
引用
收藏
页码：923 / 927
页数：5
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