In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
Abstract. Obtaining ground truth for hyperspectral data is an expensive task. In addition, a number of factors cause the spectral signatures of the same class to vary with location...
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Abstract. Entropy coding is one of the most important techniques in video codec. Two main criteria to assess an entropy coder are coding efficiency and friendly realization charact...
Autonomic systems are needed to self-manage the increasing complexity of pervasive communications access and the ubiquitous computing services it offers to humans. Policy based go...
Kevin Feeney, Karl Quinn, David Lewis, Declan O'Su...