Vehicle-to-vehicle (V2V) communication systems have been studied extensively in recent years by transportation experts worldwide. Such systems enable the transmission of warning me...
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
Multi-dimensional storage virtualization (MDSV) allows multiple virtual disks, each with a distinct combination of capacity, latency and bandwidth requirements, to be multiplexed ...
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
There are several kinds of non-invasive imaging methods that are used to collect data from the brain, e.g., EEG, MEG, PET, SPECT, fMRI, etc. It is difficult to get resolution of i...