Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
: With the advances in a variety of software/hardware technologies and wireless networking, there is coming a need for ubiquitous collaboration which allows people to access inform...
Uppaal is a tool for modeling, simulation and verification of real-time systems, developed jointly by BRICS at Aalborg University and the Department of Computer Systems at Uppsala ...
Tobias Amnell, Gerd Behrmann, Johan Bengtsson, Ped...
In typical single-link 802.11 ad-hoc networks, devices often move from one network to the next, forming transitory associations without a fixed support infrastructure. The state i...