Markov decision processes from colored Petri nets

Authors:
Monica Góes Eboli;Fabio Gagliardi Cozman
Affiliations:
Escola Politécnica da Universidade de São Paulo;Escola Politécnica da Universidade de São Paulo
Venue:
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Year:
2010

Citing 5
Cited 0

Markov Decision Processes: Discrete Stochastic Dynamic Programming

Markov Decision Processes: Discrete Stochastic Dynamic Programming
An Introduction to the Practical Use of Coloured Petri Nets

Lectures on Petri Nets II: Applications, Advances in Petri Nets, the volumes are based on the Advanced Course on Petri Nets
An Introduction to the Theoretical Aspects of Coloured Petri Nets

A Decade of Concurrency, Reflections and Perspectives, REX School/Symposium
Stochastic Petri Nets for modelling and simulation

WSC '04 Proceedings of the 36th conference on Winter simulation
Planning under risk and Knightian uncertainty

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Models that are suitable for planning are not always easy to specify. In this paper we investigate the conversion of Petri nets into factored Markov decision processes: the former are relatively easy to build while the latter are adequate for policy generation. To represent probabilities that are needed when planning under uncertainty, we introduce factored Petri nets; we then describe the conversion of factored Petri nets in Markov decision processes.