Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
A new hybrid BIST scheme is proposed which is based on using an “incrementally guided LFSR.” It very efficiently combines external deterministic data from the tester with on-c...
— As technology scales into the sub-90nm domain, manufacturing variations become an increasingly significant portion of circuit delay. As a result, delays must be modeled as sta...
Matthew R. Guthaus, Natesan Venkateswaran, Chandu ...
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
Controller synthesis consists in automatically building controllers taking as inputs observation data and returning outputs guaranteeing that the controlled system satisfies some d...