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IROS
2009
IEEE
206views Robotics» more  IROS 2009»
15 years 10 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
ETFA
2006
IEEE
15 years 10 months ago
Robust Fault Isolation Filter Design for Networked Control Systems
In this paper, the effect of network-induced delay introduced into the control loop is modelled as time-varying disturbance. Based on this model, a fault isolation filter (FIF) f...
Shanbin Li, Dominique Sauter, Christophe Aubrun
UAI
2008
15 years 5 months ago
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
Tamir Hazan, Amnon Shashua
SIAMCO
2008
70views more  SIAMCO 2008»
15 years 4 months ago
Minimal Time Sequential Batch Reactors with Bounded and Impulse Controls for One or More Species
We consider the optimal control problem of feeding in minimal time a tank where several species compete for a single resource, with the objective being to reach a given level of th...
Pedro Gajardo, Héctor Ramírez Cabrer...
WSC
2007
15 years 6 months ago
Sequential sampling for solving stochastic programs
We develop a sequential sampling procedure for solving a class of stochastic programs. A sequence of feasible solutions, with at least one optimal limit point, is given as input t...
Güzin Bayraksan, David P. Morton