Sequencing problems have to be solved very often in VLSI CAD. To obtain results of high quality, Evolutionary Algorithms (EAs) have been successfully applied in many cases. Howeve...
For autonomous artificial decision-makers to solve realistic tasks, they need to deal with searching through large state and action spaces under time pressure. We study the probl...
We present a novel method for iterative reconstruction of high resolution images. Our method is based on the observation that constant regions in an image can be represented at muc...
Hanno Schumacher, Stefan Heldmann, Eldad Haber, Be...
The eligibility trace is one of the most used mechanisms to speed up reinforcement learning. Earlier reported experiments seem to indicate that replacing eligibility traces would p...
The essence of exploration is acting to try to decrease uncertainty. We propose a new methodology for representing uncertainty in continuous-state control problems. Our approach, ...