Software used in embedded systems is subject to strict timing and space constraints. The growing software complexity creates an urgent need for fast program execution under the co...
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algorithm applied to a large variety of combinatorial optimization problems. Contrary to evolutionary algorithms ...
A value’s degree of use—the number of dynamic uses of that value—provides the most essential information needed to optimize its communication. We present simulation results ...
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...