We present an information theoretic perspective on optimal broadband matching. Most of the broadband matching and communication theory literature assumes a frequencyflat reflection...
Abstract. We consider the issue of exploiting symmetries in the hierarchy of semidefinite programming relaxations recently introduced in polynomial optimization. We focus on probl...
: Nowadays, solving nonsmooth (not necessarily differentiable) optimization problems plays a very important role in many areas of industrial applications. Most of the algorithms d...
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
Abstract— This paper presents coverage algorithms for mobile sensor networks in which agents have limited power to move. Rather than making use of a constrained optimization tech...