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ICML
2003
IEEE
14 years 5 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 18 days ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
CDC
2009
IEEE
160views Control Systems» more  CDC 2009»
13 years 9 months ago
Receding horizon temporal logic planning for dynamical systems
— This paper bridges the advances in computer science and control to allow automatic synthesis of control strategies for complex dynamical systems which are guaranteed, by constr...
Tichakorn Wongpiromsarn, Ufuk Topcu, R. Richard Mu...
CDC
2009
IEEE
379views Control Systems» more  CDC 2009»
13 years 8 months ago
Receding horizon cost optimization for overly constrained nonlinear plants
— A receding horizon control algorithm, originally proposed for tracking best-possible steady-states in the presence of overly stringent state and/or input constraints, is analyz...
David Angeli, Rishi Amrit, James B. Rawlings
INFORMATICALT
2002
191views more  INFORMATICALT 2002»
13 years 4 months ago
Optimal Control of a Well-Stirred Bioreactor in the Presence of Stochastic Perturbations
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...
Vadim Azhmyakov