Point-Based Value Iteration for Partially-Observed Boolean Dynamical Systems with Finite Observation Space Conference Paper uri icon


  • © 2016 IEEE. This paper is concerned with obtaining the infinite-horizon control policy for partially-observed Boolean dynamical systems (POBDS) when measurements take place in a finite observation space, with application to Boolean gene regulatory networks. The goal of control is to reduce the steady-state mass of undesirable states, which might be associated with disease. The idea behind the proposed method is to transfer the partially-observed Boolean states into a continuous observed state space known as belief space, and then employ the well-known value iteration method based on Point-Based Value Iteration (PBVI). The performance of the method is investigated using a Boolean network model constructed from melanoma gene-expression data observed through Bernoulli noise.

altmetric score

  • 3

author list (cited authors)

  • Imani, .., & Braga-Neto, U.

citation count

  • 19

publication date

  • December 2016