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IDEAL
2004
Springer
15 years 2 months ago
Policy Gradient Method for Team Markov Games
The main aim of this paper is to extend the single-agent policy gradient method for multiagent domains where all agents share the same utility function. We formulate these team pro...
Ville Könönen
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
15 years 10 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
ICIP
2002
IEEE
15 years 11 months ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong
CSSE
2008
IEEE
15 years 4 months ago
A Markov Game Theory-Based Risk Assessment Model for Network Information System
—Risk assessment is a very important tool to acquire a present and future security status of the network information system. Many risk assessment approaches consider the present ...
Cui Xiaolin, Xiaobin Tan, Zhang Yong, Hongsheng Xi
QEST
2008
IEEE
15 years 4 months ago
Hintikka Games for PCTL on Labeled Markov Chains
We present Hintikka games for formulae of the probabilistic temporal logic PCTL and countable labeled Markov chains as models, giving an operational account of the denotational se...
Harald Fecher, Michael Huth, Nir Piterman, Daniel ...