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 ...
Context information is used by pervasive networking and context-aware programs to adapt intelligently to different environments and user tasks. As the context information is poten...
This paper describes the audio human computer interface experiments of ixi in the past and outlines the current platform for future research. ixi software [5] was founded by Thor ...
The goal of this work is to provide users immersed in a multi-platform environment with the possibility of interacting with an application while freely moving from one device to a...
In many two-sided search applications, autonomous agents can enjoy the advantage of parallel search, powered by their ability to handle an enormous amount of information, in a shor...