We study the problem of asymptotically reducing the runtime of serial computations with circuits of polynomial size. We give an algorithmic size-depth tradeoff for parallelizing ...
lation of BGS model of Abstract State Machines Comandur Seshadhri1 , Anil Seth2 , and Somenath Biswas2 1 Department of Computer Science Princeton University, Princeton NJ 08544, US...
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
We present a novel approach for interactive navigation in complex 3D synthetic environments using path planning. Our algorithm precomputes a global roadmap of the environment by u...
Brian Salomon, Maxim Garber, Ming C. Lin, Dinesh M...
Abstract. We consider the problem of automatically verifying realtime systems with continuously distributed random delays. We generalise probabilistic timed automata introduced in ...
Marta Z. Kwiatkowska, Gethin Norman, Roberto Segal...