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120
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ATAL
2004
Springer
15 years 9 months ago
Decentralized Markov Decision Processes with Event-Driven Interactions
Decentralized MDPs provide a powerful formal framework for planning in multi-agent systems, but the complexity of the model limits its usefulness. We study in this paper a class o...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
132
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KI
2007
Springer
15 years 3 months ago
Solving Decentralized Continuous Markov Decision Problems with Structured Reward
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...
Emmanuel Benazera
141
Voted
VMCAI
2010
Springer
16 years 28 days ago
Best Probabilistic Transformers
This paper investigates relative precision and optimality of analyses for concurrent probabilistic systems. Aiming at the problem at the heart of probabilistic model checking ? com...
Björn Wachter, Lijun Zhang
122
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SODA
2010
ACM
190views Algorithms» more  SODA 2010»
16 years 1 months ago
One-Counter Markov Decision Processes
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...
130
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AAAI
1997
15 years 5 months ago
Structured Solution Methods for Non-Markovian Decision Processes
Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove