Chip multiprocessors designed for streaming applications such as Cell BE offer impressive peak performance but suffer from limited bandwidth to offchip main memory. As the number o...
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
Craig Boutilier, Ronen I. Brafman, Christopher W. ...
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Under high mobility, the orthogonality between sub-carriers in an OFDM symbol is destroyed resulting in severe intercarrier interference (ICI). We present a novel algorithm to est...
K. M. Zahidul Islam, Tareq Y. Al-Naffouri, Naofal ...