On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks

Lin Lin, James Lam, Peng Shi, Michael K. Ng, Hak Keung Lam

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

This paper examines the stabilizability probability of probabilistic Boolean control networks (PBCNs) by utilizing reinforcement learning. The bounds of the reachability probability are formulated based on the algebraic state space representation (ASSR) of PBCNs, which leads to the stabilizability criterion. Furthermore, the equivalence between the stabilizability probability and the optimal state-value function in the form of an iteration equation is proved. The Q-learning technique is implemented to estimate the stabilizability probability and obtain the corresponding optimal control sequences. Theoretical results are demonstrated through an apoptosis network to elaborate on the findings.

Original languageEnglish
Title of host publicationProceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023
PublisherIEEE Computer Society
Pages295-302
Number of pages8
Edition1st
ISBN (Electronic)9798350303780
ISBN (Print)9798350303797
DOIs
Publication statusPublished - 9 Jul 2023
Event2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023 - Adelaide, Australia
Duration: 9 Jul 202311 Jul 2023
https://ieeexplore.ieee.org/xpl/conhome/10327787/proceeding (Conference proceedings)
https://www.icmlc.org/2023.html (Conference website)

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023
Country/TerritoryAustralia
CityAdelaide
Period9/07/2311/07/23
Internet address

Scopus Subject Areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Human-Computer Interaction

User-Defined Keywords

  • Logical Control Networks
  • Probability Estimation
  • reinforcement Learning
  • Stabilizability

Fingerprint

Dive into the research topics of 'On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks'. Together they form a unique fingerprint.

Cite this