Agents that operate in a real-world environment have to process an abundance of information, which may be ambiguous or noisy. We present a method inspired by cognitive research tha...
Maria E. Niessen, Gert Kootstra, Sjoerd de Jong, T...
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Multiple simulation runs using the same simulation model with different values of control parameters usually generate large data sets that capture the variational aspects of the be...
Kresimir Matkovic, Denis Gracanin, Mario Jelovic, ...
Determining the provenance of data, i.e. the process that led to that data, is vital in many disciplines. For example, in science, the process that produced a given result must be...
Simon Miles, Steve Munroe, Michael Luck, Luc Morea...
From an automated planning perspective the problem of practical mobile robot control in realistic environments poses many important and contrary challenges. On the one hand, the p...