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The Relations Among Potentials, Perturbation Analysis, and Markov Decision Processes
4 references·3 citing·20 second hop
The Relations Among Potentials, Perturbation Analysis, and Markov Decision Processes (1998)The Relations Among Potentials, Perturbat…Introduction to Stochastic Processes (2014)Introduction to Stochastic Pr…Algorithms for sensitivity analysis of Markov systems through potentials and perturbation realization (1998)Algorithms for sensitivity an…Perturbation realization, potentials, and sensitivity analysis of Markov processes (1997)Perturbation realization, pot…Smoothed perturbation analysis derivative estimation for Markov chains (1994)Smoothed perturbation analysi…Event-Based Optimization of Markov Systems (2008)Event-Based Optimization of M…An Algorithmic Approach for Sensitivity Analysis of Perturbed Quasi-Birth-and-Death Processes (2004)An Algorithmic Approach for S…Gradient-based policy iteration: an example (2003)Gradient-based policy iterati…Gradient Estimation via Perturbation Analysis (1991)A logarithmic reduction algorithm for quasi-birth-death processes (1993)Introduction to Matrix Analytic Methods in Stochastic Modeling (1999)An Overview for Markov Decision Processes in Queues and Networks (2019)Double-ended queues with non-Poisson inputs and their effective algorithms (2022)Continuity of Generalized Semi-Markov Processes (1980)Perturbation analysis and optimization of queueing networks (1983)Smoothed (conditional) perturbation analysis of discrete event dynamical systems (1987)Simulation-based optimization of Markov reward processes (2002)Performance optimization of queueing systems with perturbation realization (2011)Simulation Optimization: A Review on Theory and Applications (2013)Discrete event systems : modeling and performance analysis (1993)Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1995)Simulation-based optimization of Markov reward processes (2001)Design and control of manufacturing systems: a discrete event optimisation methodology (2017)Semi-markov decision problems and performance sensitivity analysis (2003)Basic Ideas for Event-Based Optimization of Markov Systems (2005)Fast simulation of rare events in queueing and reliability models (1995)A Theory of Trickle-Down Growth and Development (1997)A taxonomy of model structures for economic evaluation of health technologies (2006)
this work references cited by second hop

References

  • 2014Introduction to Stochastic Processes2,383 cited
  • 1997Perturbation realization, potentials, and sensitivity analysis of Markov processes208 cited
  • 1998Algorithms for sensitivity analysis of Markov systems through potentials and perturbation realization69 cited
  • 1994Smoothed perturbation analysis derivative estimation for Markov chains30 cited

Cited by

  • 2008Event-Based Optimization of Markov Systems44 cited
  • 2003Gradient-based policy iteration: an example14 cited
  • 2004An Algorithmic Approach for Sensitivity Analysis of Perturbed Quasi-Birth-and-Death Processes13 cited

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