Constraint programming is a commonly used technology for solving complex combinatorial problems. However, users of this technology need significant expertise in order to model the...
Over the last few years, Real-Time Calculus has been used extensively to model and analyze embedded systems processing continuous data/event streams. Towards this, bounds on the a...
Anne Bouillard, Linh T. X. Phan, Samarjit Chakrabo...
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
A mobile multi-agent system is proposed to create solutions for the university course timetabling problem. It is composed of four kinds of agents: (mobile) Course Agents, and (stat...
Yan Yang, Raman Paranjape, Luigi Benedicenti, Nanc...
So far the Non-Rigid Structure-from-Motion problem has been tackled using a batch approach. All the frames are processed at once after the video acquisition takes place. In this pa...
Marco Paladini, Adrien Bartoli, Lourdes de Agapito