ng Abstractions for Local Search Pascal Van Hentenryck1 and Laurent Michel2 1 Brown University, Box 1910, Providence, RI 02912 2 University of Connecticut, Storrs, CT 06269-3155 Ab...
We describe a novel parallel randomized search algorithm for two-player games. The algorithm is a randomized version of Korf and Chickering's best-first search. Randomization...
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
A number of applications require selecting targets for specific contents on the basis of criteria defined by the contents providers rather than selecting documents in response to ...
Semantic Web technologies facilitate data integration over a large number of sources with decentralised and loose coordination, ideally leading to interlinked datasets which descri...