Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
We conducted a 6-month project with a physical therapy clinic, involving equal parts ethnographic fieldwork and rapid prototyping. It differed from most reported user-informed des...
We consider testing directed graphs for being Eulerian in the orientation model introduced in [15]. Despite the local nature of the property of being Eulerian, it turns out to be ...
Eldar Fischer, Oded Lachish, Ilan Newman, Arie Mat...
Wireless sensor network (WSN) containing thousands of tiny and low-power nodes can be used to monitor environment. An energy-efficient and reliable wireless communication architect...
Yi-Ying Zhang, WenCheng Yang, Kee-Bum Kim, Min-Yu ...
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...