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Eduard C. Dragut, Clement T. Yu, A. Prasad Sistla,...
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
In this article, we discuss a naive method of randomness reduction for cryptographic schemes, which replaces the required perfect randomness with output distribution of a computat...
—In this paper, we consider the control system Σ defined by the rolling of a strictly convex surface S of IR3 on a plane without slipping or spinning. The purpose of this paper...
Abstract: We introduce the input-output automaton, a simple but powerful model of computation in asynchronous distributed networks. With this model we are able to construct modular...