In many sensing applications we must continuously gather information to provide a good estimate of the state of the environment at every point in time. A robot may tour an environ...
Alexandra Meliou, Andreas Krause, Carlos Guestrin,...
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. ...
This paper presents a novel approach to achieve accurate and complete multi-view reconstruction of dynamic scenes (or 3D videos). 3D videos consist in sequences of 3D models in mot...
Models of programming and debugging suggest many causes of errors, and many classifications of error types exist. Yet, there has been no attempt to link causes of errors to these ...
Market-based resource management is becoming an emerging issue as the utilization of Grid computing is growing rapidly, particularly in the business field. In this paper, we prov...