Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
— We consider the problem of gathering data from a sensor network using mobile elements. In particular, we consider the case where the data are produced by measurements and need ...
Recent years have seen the emergence of dropletbased microfluidic systems for safety-critical biomedical applications. In order to ensure reliability, microsystems incorporating m...
abstraction heuristics, notably pattern-database and merge-and-shrink heuristics, are employed by some state-ofthe-art optimal heuristic-search planners. The major limitation of t...
Heuristic search using algorithms such as A and IDA is the prevalent method for obtaining optimal sequential solutions for classical planning tasks. Theoretical analyses of these ...