Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Abstract— This paper describes an automatic wireless LAN access points planning approach based on a multicriteria modelling and solving. A realistic and efficient wLAN planning ...
Dynamic compilers can optimize application code specifically for observed code behavior. Such behavior does not have to be stable across the entire program execution to be bene...
Christian Wimmer, Marcelo Silva Cintra, Michael Be...
—Although network-wide flooding in reactive routing protocols like AODV [1] facilitates the discovery of optimal routes, they engender large control overhead. Some efficient floo...