Acknowledgment: The geemap project is supported by the National Aeronautics and Space Administration (NASA) under Grant No. 80NSSC22K1742 issued through the Open Source Tools, Frameworks, and ...

Abstract: This article proposes model-free reinforcement learning methods for minimum-cost state-flipped control in Boolean control networks (BCNs). We tackle two questions: 1) finding the flipping ...

Abstract: In this article, we initiate the strong structural controllability of Boolean networks (BNs), in order to cope with the difficulty of identifying intricate nodal dynamics. The derived ...