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APN
2007
Springer
15 years 4 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»
14 years 10 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»
14 years 8 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
15 years 4 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