<--- Back to Details
First PageDocument Content
Markov models / Probability / Dynamic programming / Markov processes / Stochastic control / Markov decision process / Markov chain / Linear temporal logic / S2 / Reinforcement learning / S0
Date: 2013-10-06 19:34:00
Markov models
Probability
Dynamic programming
Markov processes
Stochastic control
Markov decision process
Markov chain
Linear temporal logic
S2
Reinforcement learning
S0

Automated Verification Techniques for Probabilistic Systems Vojtˇech Forejt1 , Marta Kwiatkowska1 , Gethin Norman2 , and David Parker1 1 Department of Computer Science, University of Oxford, Oxford, OX1 3QD, UK

Add to Reading List

Source URL: qav.comlab.ox.ac.uk

Download Document from Source Website

File Size: 912,93 KB

Share Document on Facebook

Similar Documents

Designing Robust Software Systems through Parametric Markov Chain Synthesis ˇ ska† , Simos Gerasimou∗ , Marta Kwiatkowska‡ and Nicola Paoletti§ Radu Calinescu∗ , Milan Ceˇ ∗ Department of Computer Science, U

Designing Robust Software Systems through Parametric Markov Chain Synthesis ˇ ska† , Simos Gerasimou∗ , Marta Kwiatkowska‡ and Nicola Paoletti§ Radu Calinescu∗ , Milan Ceˇ ∗ Department of Computer Science, U

DocID: 1xTt6 - View Document

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari ∗

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari ∗

DocID: 1vbSk - View Document

Mean field and fluid approaches to Markov chain analysis Jeremy T. Bradley ∗  Department of Computing, Imperial College London, UK  Representing the explicit state space of performance models has inheren

Mean field and fluid approaches to Markov chain analysis Jeremy T. Bradley ∗ Department of Computing, Imperial College London, UK Representing the explicit state space of performance models has inheren

DocID: 1v7u1 - View Document

ODE approximations to some Markov chain models Perla Sousi  January 13, 2009

ODE approximations to some Markov chain models Perla Sousi January 13, 2009

DocID: 1uW7y - View Document

Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan

Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan

DocID: 1uvqp - View Document