— In this paper, a numerical method (termed, E47 algorithm) based on linear variational inequalities (LVI) is presented and investigated to solve quadratic programming (QP) probl...
Yunong Zhang, Senbo Fu, Zhijun Zhang, Lin Xiao, Xu...
Common programming practice grants excess authority for the sake of functionality; programming principles require least authority for the sake of security. If we practice our princ...
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
—The central paradigm of today’s successful Internet is to keep the network core simple and move complexity towards the network end points. Unfortunately, this very paradigm li...
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...