The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
Many future applications of robotic systems will require manipulators to operate from moving vehicles. Such vehicles will be compliant in comparison to the rigid bases on which mo...
Harry West, Norbert Hootsmans, Steven Dubowsky, Na...
Modern peer-to-peer file sharing systems distribute large files among peers using block partitioning. Blocks can be redistributed by a peer even before the whole file is available...
Christian Ortolf, Christian Schindelhauer, Arne Va...
— The assignment problem constitutes one of the fundamental problems in the context of linear programming. Besides its theoretical significance, its frequent appearance in the a...
Michael M. Zavlanos, Leonid Spesivtsev, George J. ...