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We consider the problem of finding a control policy for a Markov Decision Process (MDP) to maximize the probability of reaching some states while avoiding some other states. This problem is motivated by applications in robotics, where such problems naturally arise when probabilistic models of robot motion are required to satisfy temporal logic task specifications. We transform this problem into a...
This paper proposes a fast reconfiguration algorithm for the two-dimensional degradable mesh-connected processor arrays. The proposed algorithm simplifies a dynamic programming approach to construct logical columns. For each processing element lying in the logical columns, the calculation is reduced from five operations (one assignment, two additions and two comparisons) that are taken in the state-of-the-art...
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