In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
In recent years, stochastic modelling has emerged as a physically more realistic alternative for modelling in vivo reactions. There are numerous stochastic approaches available in...
This paper considers the problem of balanced model reduction for a class of distributed parameter systems. The system is assumed to have a finite-dimensional state vector as well ...
S. O. Reza Moheimani, Hemanshu Roy Pota, Ian R. Pe...
We analyze the mixing time of a natural local Markov chain (the Glauber dynamics) on configurations of the solid-onsolid model of statistical physics. This model has been proposed...
— A novel method to extract the efficient model for Metal-Oxide-Semiconductor (MOS) transistors in order to satisfy a specific accuracy is presented. The approach presented here ...
Mohammad Taherzadeh-Sani, Ali Abbasian, Behnam Ame...