Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
d Abstract) Paul Beame1, , Matei David2, , Toniann Pitassi2, , and Philipp Woelfel2,† 1 University of Washington 2 University of Toronto Abstract. We solve some fundamental probl...
Paul Beame, Matei David, Toniann Pitassi, Philipp ...
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
Abstract. Nowadays enterprises request information technologies that leverage structured and unstructured information for providing a single integrated view of business problems in...
Traditionally, instruction-set simulators (ISS’s) are sequential programs running on individual processors. Besides the advances of simulation techniques, ISS’s have been main...