A New Learning Automaton for Selecting an Arbitrary Subset of Actions-Reference-Cited by-同舟云学术

A New Learning Automaton for Selecting an Arbitrary Subset of Actions

Published:2024-01 Issue:1 Volume:54 Page:568-577
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Zhang Junqi¹^ORCID,Zu Peng¹,Qiu PengZhan¹^ORCID,Zhou MengChu²^ORCID

Affiliation:

1. Department of Computer Science and Technology, Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China

2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

Funder

Innovation Program of Shanghai Municipal Education Commission

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Shanghai Innovation Action Plan

Deanship of Scientific Research (DSR) at King Abdulaziz University (KAU), Jeddah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10364893/10269151.pdf?arnumber=10269151

Reference45 articles.

1. Discretized pursuit learning automata

2. Learning automata based energy-efficient AI hardware design for IoT applications

3. Learning-Automata-Based Confident Information Coverage Barriers for Smart Ocean Internet of Things

4. Intelligent learning automata-based objective function in RPL for IoT

5. LAGOA: Learning automata based grasshopper optimization algorithm for feature selection in disease datasets