In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of co...
: In real life scenarios there is often the need for modelling conditional plans where external events determgine the actual execution sequence. Conditional Temporal Problems (CTPs...
Marco Falda, Francesca Rossi, Kristen Brent Venabl...
We study a scheduling problem, motivated by air-traffic control, in which a set of aircrafts are about to land on a single runway. When coming close to the landing area of the air...
Konstantin Artiouchine, Philippe Baptiste, Christo...