We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Application-layer networks (ALN) are software architectures that allow the provisioning of services requiring a huge amount of resources by connecting large numbers of individual ...
Torsten Eymann, Michael Reinicke, Oscar Ardaiz, Pa...
The paper analyzes auctions which are not completely enforceable. In such auctions, economic agents may fail to carry out their obligations, and parties involved cannot rely on ex...
In this study, we describe a conversational agent designed to support collaborative learning interactions between pairs of students. We describe a study in which we independently m...
The paper gives overview of a multi-agent real-time scheduler for the European operation of one of the largest rent-a-car company in the world. It describes requirements for schedu...
Slava Andreev, George Rzevski, Peter Shviekin, Pet...