In a system proposed by Plaxton, Rajaraman and Richa (PRR), the expected cost of accessing a replicated object was proved to be asymptotically optimal for a static set of nodes an...
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
Multi-agent domains consisting of teams of agents that need to collaborate in an adversarial environment offer challengingresearch opportunities. In this article, we introduce per...
Program verifiers based on first-order theorem provers model the program heap as a collection of mutable maps. In such verifiers, preserving unmodified facts about the heap acr...