Point-Based Value Iteration for Partially-Observed Boolean Dynamical Systems with Finite Observation Space
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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.
name of conference
2016 IEEE 55th Conference on Decision and Control (CDC)
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC)
author list (cited authors)
Imani, M., & Braga-Neto, U.
complete list of authors
Imani, Mandi||Braga-Neto, Ulisses