We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
The integration of the telephone network and the internet enables convergence of voice and data services. The explosion of information appliances also provides new service opportun...
Abstract. We provide a complete system of transformation rules for semantic unification with respect to theories defined by convergent rewrite systems. We show that this standard u...
Abstract. Various variants of Schwarz methods for a singularly perturbed two dimensional stationary convection-diffusion problem are constructed and analysed. The iteration counts,...
H. MacMullen, Eugene O'Riordan, Grigorii I. Shishk...
We develop and analyze an algorithm for nonparametric estimation of divergence functionals and the density ratio of two probability distributions. Our method is based on a variati...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...