Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
We investigate and model the dynamics of two-dimensional stochastic self-assembly of intelligent micro-systems with minimal requirements in terms of sensing, actuation, and contro...
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
—We propose an extension of van Lamsweerde’s goal-oriented requirements engineering to the domain of programmable DNA nanotechnology. This is a domain in which individual devic...
Robyn R. Lutz, Jack H. Lutz, James I. Lathrop, Tit...
Abstract—The prospect of new biological and industrial applications that require communication in micro-scale, encourages research on the design of bio-compatible communication n...
Arash Einolghozati, Mohsen Sardari, Ahmad Beirami,...