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IROS
2009
IEEE
206views Robotics» more  IROS 2009»
15 years 4 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 3 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
14 years 11 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»
14 years 9 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 2 days 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