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» Multi-objective Model Checking of Markov Decision Processes
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IJCAI
2001
13 years 10 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
ICASSP
2008
IEEE
14 years 3 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...
JSAC
2011
82views more  JSAC 2011»
13 years 3 months ago
Optimal Cognitive Access of Markovian Channels under Tight Collision Constraints
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-...
Xin Li, Qianchuan Zhao, Xiaohong Guan, Lang Tong
AAAI
2012
11 years 11 months ago
A Dynamic Rationalization of Distance Rationalizability
Distance rationalizability is an intuitive paradigm for developing and studying voting rules: given a notion of consensus and a distance function on preference profiles, a ration...
Craig Boutilier, Ariel D. Procaccia
ATAL
2007
Springer
14 years 2 months ago
Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, ...