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APN
2007
Springer
14 years 1 months ago
Markov Decision Petri Net and Markov Decision Well-Formed Net Formalisms
In this work, we propose two high-level formalisms, Markov Decision Petri Nets (MDPNs) and Markov Decision Well-formed Nets (MDWNs), useful for the modeling and analysis of distrib...
Marco Beccuti, Giuliana Franceschinis, Serge Hadda...
AUTOMATICA
2008
104views more  AUTOMATICA 2008»
13 years 7 months ago
Exact finite approximations of average-cost countable Markov decision processes
For a countable-state Markov decision process we introduce an embedding which produces a finite-state Markov decision process. The finite-state embedded process has the same optim...
Arie Leizarowitz, Adam Shwartz
ICRA
2010
IEEE
143views Robotics» more  ICRA 2010»
13 years 6 months ago
Apprenticeship learning via soft local homomorphisms
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
Abdeslam Boularias, Brahim Chaib-draa
LICS
2009
IEEE
14 years 2 months ago
Statistic Analysis for Probabilistic Processes
—We associate a statistical vector to a trace and a geometrical embedding to a Markov Decision Process, based on a distance on words, and study basic Membership and Equivalence p...
Michel de Rougemont, Mathieu Tracol