The problem of multi-robot patrol in adversarial environments has been gaining considerable interest during the recent years.In this problem, a team of mobile robots is required t...
Credit assignment is a fundamental issue for the Learning Classifier Systems literature. We engage in a detailed investigation of credit assignment in one recent system called UC...
Selection procedures are used in a variety of applications to select the best of a finite set of alternatives. ‘Best’ is defined with respect to the largest mean, but the me...
Currently, companies are about to optimize their internal processes by monitoring items they handle with Radio Frequency Identification (RFID). However, there is a risk that sens...
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...