Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Scheme includes a simple yet powerful macro mechanism. Using macros, programmers can easily extend the language with new kinds of expressions and definitions, thus abstracting ove...
We develop cache-oblivious data structures for orthogonal range searching, the problem of finding all T points in a set of N points in Êd lying in a query hyper-rectangle. Cache...
Pankaj K. Agarwal, Lars Arge, Andrew Danner, Bryan...
This paper considers the problem of performing tasks in asynchronous distributed settings. This problem, called DoAll, has been substantially studied in synchronous models, but th...
Query rewriting using views is an essential issue in data integration. A number of algorithms, e.g., the bucket algorithm, the inverse rules algorithm, the SVB algorithm and the M...