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» Coarticulation in Markov Decision Processes
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ICML
2001
IEEE
14 years 8 months ago
Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
Martin Zinkevich, Tucker R. Balch
FORMATS
2006
Springer
13 years 11 months ago
A Characterization of Meaningful Schedulers for Continuous-Time Markov Decision Processes
Abstract. Continuous-time Markov decision process are an important variant of labelled transition systems having nondeterminism through labels and stochasticity through exponential...
Nicolás Wolovick, Sven Johr
GLVLSI
2005
IEEE
118views VLSI» more  GLVLSI 2005»
14 years 1 months ago
A continuous time markov decision process based on-chip buffer allocation methodology
We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer s...
Sankalp Kallakuri, Nattawut Thepayasuwan, Alex Dob...
ICALP
2005
Springer
14 years 1 months ago
Recursive Markov Decision Processes and Recursive Stochastic Games
We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), which are classes of (finitely presented) countable-state MDPs and zero-su...
Kousha Etessami, Mihalis Yannakakis
FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
14 years 1 months ago
Learning to Identify Facial Expression During Detection Using Markov Decision Process
While there has been a great deal of research in face detection and recognition, there has been very limited work on identifying the expression on a face. Many current face detect...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...