RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
This paper presents a novel integrated background model for video surveillance. Our model uses a primal sketch representation for image appearance and 3D scene geometry to capture...
Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wa...
1 In multi-agent systems (MAS), coalition formation is typically studied using characteristic function game (CFG) representations, where the performance of any coalition is indepen...
Tomasz P. Michalak, Andrew Dowell, Peter McBurney,...
Information visualization is a powerful method for understanding and working with data. However, we still have an incomplete understanding of how people use visualization to think...