499 search results - page 62 / 100 » Model Minimization in Markov Decision Processes |
139
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ICIP
2005
IEEE
16 years 6 months ago
2005
IEEE
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
146
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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
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 ...
139
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JSAC
2011
14 years 11 months ago
2011
Abstract—The problem of cognitive access of channels of primary users by a secondary user is considered. The transmissions of primary users are modeled as independent continuous-...
139
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
143
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ICML
2001
IEEE
16 years 5 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...