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» Model Checking Markov Reward Models with Impulse Rewards
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IPPS
2007
IEEE
14 years 4 months ago
A Markov Reward Model for Software Reliability
A compositional method for estimating software reliability of many threaded programs is developed. The method uses estimates of the reliability of individual modules and the proba...
YoungMin Kwon, Gul Agha
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
14 years 4 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
TACAS
2007
Springer
136views Algorithms» more  TACAS 2007»
14 years 4 months ago
Bisimulation Minimisation Mostly Speeds Up Probabilistic Model Checking
This paper studies the effect of bisimulation minimisation in model checking of monolithic discrete-time and continuous-time Markov chains as well as variants thereof with rewards...
Joost-Pieter Katoen, Tim Kemna, Ivan S. Zapreev, D...
MDAI
2005
Springer
14 years 3 months ago
Perceptive Evaluation for the Optimal Discounted Reward in Markov Decision Processes
We formulate a fuzzy perceptive model for Markov decision processes with discounted payoff in which the perception for transition probabilities is described by fuzzy sets. Our aim...
Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Y...
ICML
2001
IEEE
14 years 11 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan