A solution is provided to the problem of computing a convex set of conditional probability distributions that characterize the state of a nonlinear dynamic system as it evolves in...
In this paper we study decentralized, networked systems whose interaction dynamics are given by a nearestneighbor averaging rule. By letting one node in the network take on the rol...
We study the stochastic model for bioremediation in a bioreactor with ideal mixing. The dynamics of the examined system is described by stochastic differential equations. We consid...
—The paper concerns approximate dynamic decision making. It deals with solving Bellman equation to obtain the Bellman function via so-called suboptimal strategies. The suboptimal...
We consider the Bellman residual minimization approach for solving discounted Markov decision problems, where we assume that a generative model of the dynamics and rewards is avai...