Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Traditional CBR approaches imply centralized storage of the case base and, most of them, the retrieval of similar cases by an exhaustive comparison of the case to be solved with th...
We consider a single-source network design problem from a game-theoretic perspective. Gupta, Kumar and Roughgarden (Proc. 35th Annual ACM STOC, pages 365–372, 2003) developed a ...
abstract for submission to Random '98 not for distribution Andrei Z. Broder Moses Charikar Michael Mitzenmacher Min-wise independence is a recently introduced notion of limit...
Andrei Z. Broder, Moses Charikar, Michael Mitzenma...
Recently, a new domain store for set-variables has been proposed which totally orders all values in the domain of a set-variable based on cardinality and lexicography. Traditionall...
Yuri Malitsky, Meinolf Sellmann, Willem Jan van Ho...