The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
—We study the resilience of MPLS flows over an agile all-photonic star WDM network (AAPN). On the basis of our previous inter-area optimal routing architecture, we propose and de...
Abstract. Software development processes are often not explicitly modelled and sometimes even chaotic. In order to keep track of the involved documents and files, engineers use So...
Preservation of interactive multimedia performances is becoming important as they are getting more and more popular in performing arts communities. A proper preservation does not o...
Kia Ng, Tran Vu Pham, Bee Ong, Alexander Mikroyann...
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...