Factored planning methods aim to exploit locality to efficiently solve large but "loosely coupled" planning problems by computing solutions locally and propagating limit...
Eric Fabre, Loig Jezequel, Patrik Haslum, Sylvie T...
A constrained agent is limited in the actions that it can take at any given time, and a challenging problem is to design policies for such agents to do the best they can despite t...
This paper presents a novel discrete population based stochastic optimization algorithm inspired from weed colonization. Its performance in a discrete benchmark, timecost trade-off...
: The growth in demand for semiconductors has been accompanied by intense competition between semiconductor manufacturers to satisfy customer on-time delivery needs. This paper is ...
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...