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» Probabilistic Agent Programs
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142
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CORR
2008
Springer
154views Education» more  CORR 2008»
15 years 2 months ago
A Counterexample Guided Abstraction-Refinement Framework for Markov Decision Processes
rexample Guided Abstraction-Refinement Framework for Markov Decision Processes ROHIT CHADHA and MAHESH VISWANATHAN Dept. of Computer Science, University of Illinois at Urbana-Champ...
Rohit Chadha, Mahesh Viswanathan
163
Voted
JEI
2006
162views more  JEI 2006»
15 years 2 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
117
Voted
PRL
2008
142views more  PRL 2008»
15 years 2 months ago
Highly accurate error-driven method for noun phrase detection
We present a new model for detection of noun phrases in unrestricted text, whose most outstanding feature is its flexibility: the system is able to recognize noun phrases similar ...
Lourdes Araujo, Jose Ignacio Serrano
106
Voted
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 9 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
CIA
1998
Springer
15 years 6 months ago
Multiagent Systems in Information-Rich Environments
Information-rich environments are the open environments that characterize most of the modern applications of computing technology. The applications include ubiquitous information a...
Michael N. Huhns, Munindar P. Singh