—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Abstract— We describe an autonomous robotic system capable of navigating through an office environment, opening doors along the way, and plugging itself into electrical outlets ...
Wim Meeussen, Melonee Wise, Stuart Glaser, Sachin ...
Abstract—Multiple-input and multiple-output (MIMO) technique is considered as one of the most promising emerging wireless technologies that can significantly improve transmissio...
—We consider the problem of ’fair’ scheduling the resources to one of the many mobile stations by a centrally controlled base station (BS). The BS is the only entity taking d...
Veeraruna Kavitha, Eitan Altman, Rachid El Azouzi,...
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...