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» Mean-Variance Optimization in Markov Decision Processes
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QEST
2010
IEEE
14 years 7 months ago
Symblicit Calculation of Long-Run Averages for Concurrent Probabilistic Systems
Abstract--Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scan...
Ralf Wimmer, Bettina Braitling, Bernd Becker, Erns...
FCCM
2006
IEEE
106views VLSI» more  FCCM 2006»
15 years 3 months ago
Scalable Hardware Architecture for Real-Time Dynamic Programming Applications
Abstract— This paper introduces a novel architecture for performing the core computations required by dynamic programming (DP) techniques. The latter pertain to a vast range of a...
Brad Matthews, Itamar Elhanany
GLOBECOM
2007
IEEE
15 years 1 months ago
Bursty Traffic in Energy-Constrained Opportunistic Spectrum Access
We design opportunistic spectrum access strategies for improving spectrum efficiency. In each slot, a secondary user chooses a subset of channels to sense and decides whether to ac...
Yunxia Chen, Qing Zhao, Ananthram Swami
EMMCVPR
2001
Springer
15 years 2 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
AAAI
1994
14 years 11 months ago
Acting Optimally in Partially Observable Stochastic Domains
In this paper, we describe the partially observable Markov decision process pomdp approach to nding optimal or near-optimal control strategies for partially observable stochastic ...
Anthony R. Cassandra, Leslie Pack Kaelbling, Micha...