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JAIR
2010
108views more  JAIR 2010»
13 years 3 months ago
Kalman Temporal Differences
This paper deals with value (and Q-) function approximation in deterministic Markovian decision processes (MDPs). A general statistical framework based on the Kalman filtering pa...
Matthieu Geist, Olivier Pietquin
GI
2009
Springer
13 years 2 months ago
Gaussian Mixture (GM) Passive Localization using Time Difference of Arrival (TDOA)
: This paper describes the passive emitter localization using Time Difference of Arrival (TDOA) measurements. It investigates various methods for estimating the solution of this no...
Regina Kaune
EWRL
2008
13 years 6 months ago
Bayesian Reward Filtering
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
E2EMON
2006
IEEE
13 years 10 months ago
Tuning the Temporal Characteristics of a Kalman-Filter Method for End-to-End Bandwidth Estimation
—In this paper we present a way of tuning the temporal characteristics of a new available-bandwidth estimation method, BART. The estimation engine in this method is Kalman-filter...
Erik Hartikainen, Svante Ekelin