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NIPS
2008
13 years 10 months ago
Particle Filter-based Policy Gradient in POMDPs
Our setting is a Partially Observable Markov Decision Process with continuous state, observation and action spaces. Decisions are based on a Particle Filter for estimating the bel...
Pierre-Arnaud Coquelin, Romain Deguest, Rém...
AAAI
2004
13 years 10 months ago
Stochastic Local Search for POMDP Controllers
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
Darius Braziunas, Craig Boutilier
UAI
2001
13 years 10 months ago
Vector-space Analysis of Belief-state Approximation for POMDPs
We propose a new approach to value-directed belief state approximationfor POMDPs. The valuedirected model allows one to choose approximation methods for belief state monitoringtha...
Pascal Poupart, Craig Boutilier
TNN
2008
79views more  TNN 2008»
13 years 8 months ago
Performing Feature Selection With Multilayer Perceptrons
An experimental study on two decision issues for wrapper feature selection (FS) with multilayer perceptrons and the sequential backward selection (SBS) procedure is presented. The ...
Enrique Romero, Josep M. Sopena
PERCOM
2010
ACM
13 years 7 months ago
A flexible context stabilization approach for self-adaptive application
Abstract—Pervasive applications are characterized by variations in their context of execution. Their correct behavior requires continuous adaptations, accordingly to changes obse...
Russel Nzekwa, Romain Rouvoy, Lionel Seinturier