<--- Back to Details
First PageDocument Content
Linear temporal logic / Temporal logic / Symbol / Stochastic game / Mathematical optimization / Markov decision process / Markov chain / Probability
Date: 2016-06-06 06:27:29
Linear temporal logic
Temporal logic
Symbol
Stochastic game
Mathematical optimization
Markov decision process
Markov chain
Probability

Model Checking and Strategy Synthesis for Stochastic Games: From Theory to Practice∗ Marta Kwiatkowska University of Oxford

Add to Reading List

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

Download Document from Source Website

File Size: 619,15 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