Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
DimStiller is a system for dimensionality reduction and analysis. It frames the task of understanding and transforming input dimensions as a series of analysis steps where users t...
Stephen Ingram, Tamara Munzner, Veronika Irvine, M...
Inspired by traditional expressive animation, we attempt to propose an infinite emotion-space as a model to control free-form facial expression synthesis. Although a number of mod...
— We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such ...
Peter Pastor, Heiko Hoffmann, Tamim Asfour, Stefan...
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...