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 ...
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
In this paper, based on the study of the specificity of historical printed books, we first explain the main error sources in classical methods used for page layout analysis. We sho...
Jean-Yves Ramel, S. Leriche, M. L. Demonet, S. Bus...
Perhaps the most fundamental application of affective computing would be Human-Computer Interaction (HCI) in which the computer is able to detect and track the user’s affective ...
Zhihong Zeng, Jilin Tu, Ming Liu, Tong Zhang, Nich...
Traditional process support systems typically offer a static composition of atomic tasks to more powerful services. In the real world, however, processes change over time: busines...