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ICASSP
2008
IEEE
15 years 6 months ago
Multimodal information fusion using the iterative decoding algorithm and its application to audio-visual speech recognition
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good ...
Shankar T. Shivappa, Bhaskar D. Rao, Mohan M. Triv...
ISCC
2000
IEEE
104views Communications» more  ISCC 2000»
15 years 4 months ago
Dynamic Routing and Wavelength Assignment Using First Policy Iteration
With standard assumptions the routing and wavelength assignment problem (RWA) can be viewed as a Markov Decision Process (MDP). The problem, however, defies an exact solution bec...
Esa Hyytiä, Jorma T. Virtamo
CORR
2006
Springer
113views Education» more  CORR 2006»
14 years 11 months ago
A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
Manuel Loth, Philippe Preux
91
Voted
KI
2007
Springer
14 years 11 months ago
Solving Decentralized Continuous Markov Decision Problems with Structured Reward
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...
Emmanuel Benazera
TOMACS
2010
79views more  TOMACS 2010»
14 years 6 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu