Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore...
We show that every function f implemented as a lookup table can be implemented such that the computational complexity of evaluating f m(x) is small, independently of m and x. The ...
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Abstract. In this paper we compare three systems for tracing and debugging Haskell programs: Freja, Hat and Hood. We evaluate their usefulness in practice by applying them to a num...
Abstract. We introduce new and general complexity theoretic hardumptions. These assumptions abstract out concrete properties of a random oracle and are significantly stronger than ...