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» A Markov Reward Model Checker
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AMAI
2004
Springer
14 years 3 days ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
APN
1999
Springer
13 years 11 months ago
Parallel Approaches to the Numerical Transient Analysis of Stochastic Reward Nets
Abstract. This paper presents parallel approaches to the complete transient numerical analysis of stochastic reward nets (SRNs) for both shared and distributed-memory machines. Par...
Susann C. Allmaier, David Kreische
NIPS
2001
13 years 8 months ago
The Steering Approach for Multi-Criteria Reinforcement Learning
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Shie Mannor, Nahum Shimkin
DSN
2002
IEEE
13 years 11 months ago
Model Checking Performability Properties
Model checking has been introduced as an automated technique to verify whether functional properties, expressed in a formal logic like computational tree logic (CTL), do hold in a...
Boudewijn R. Haverkort, Lucia Cloth, Holger Herman...
ENTCS
2010
103views more  ENTCS 2010»
13 years 4 months ago
A Model and Analysis of the AKAP Scaffold
We study the biochemical processes involved in scaffold-mediated crosstalk between the cAMP and the Raf-1/MEK/ERK pathways. We model the system by a continuous time Markov chain w...
Oana Andrei, Muffy Calder