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Modern Trends in Controlled Stochastic Processes: Theory and Applications, V.III

2021

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Continuous-Time Markov Decision Processes: Borel Space Models and General Control Strategies

1st Edition 2020, 2020

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Duality in optimal impulse control

Journal of mathematical analysis and applications, 2022-05, Vol.509 (1), p.125942, Article 125942

Piunovskiy, Alexey

2022

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Extreme Occupation Measures in Markov Decision Processes with an Absorbing State

SIAM journal on control and optimization, 2024-02, Vol.62 (1), p.65-90

2024

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Aggregated occupation measures and linear programming approach to constrained impulse control problems

Journal of mathematical analysis and applications, 2021-07, Vol.499 (2), p.125070, Article 125070

2021

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Realizable Strategies in Continuous-Time Markov Decision Processes

SIAM journal on control and optimization, 2018-01, Vol.56 (1), p.473-495

Piunovskiy, Alexey

2018

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Gradual-Impulsive Control for Continuous-Time Markov Decision Processes with Total Undiscounted Costs and Constraints: Linear Programming Approach via a Reduction Method

SIAM journal on control and optimization, 2022-01, Vol.60 (3), p.1892-1917

2022

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Linear programming approach to optimal impulse control problems with functional constraints

Journal of mathematical analysis and applications, 2021-04, Vol.496 (2), p.124817, Article 124817

2021

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On the Continuity of the Projection Mapping from Strategic Measures to Occupation Measures in Absorbing Markov Decision Processes

Applied mathematics & optimization, 2024-06, Vol.89 (3), p.58, Article 58

2024

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Modelling ethnogenesis

BioSystems, 2022-09, Vol.219, p.104731-104731, Article 104731

2022

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Randomized and Relaxed Strategies in Continuous-Time Markov Decision Processes

SIAM journal on control and optimization, 2015-01, Vol.53 (6), p.3503-3533

Piunovskiy, Alexey

2015

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Sufficiency of Deterministic Policies for Atomless Discounted and Uniformly Absorbing MDPs with Multiple Criteria

SIAM journal on control and optimization, 2019-01, Vol.57 (1), p.163-191

2019

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On the equivalence of the integral and differential Bellman equations in impulse control problems

International journal of control, 2022-01, Vol.95 (1), p.173-186

2022

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Modern Trends in Controlled Stochastic Processes: Theory and Applications, V. III

1, 2021

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On Reducing a Constrained Gradual-Impulsive Control Problem for a Jump Markov Model to a Model with Gradual Control Only

SIAM journal on control and optimization, 2020-01, Vol.58 (1), p.192-214

2020

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Hitting Times in Markov Chains with Restart and their Application to Network Centrality

Methodology and computing in applied probability, 2018-12, Vol.20 (4), p.1173-1188

2018

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Optimal impulse control of a SIR epidemic

Optimal control applications & methods, 2020-03, Vol.41 (2), p.448-468

2020

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On the equivalence of the integral and differential Bellman equations in impulse control problems

International journal of control, automation, and systems, 2022

2022

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On the Accuracy of Fluid Approximations to a Class of Inventory-Level-Dependent EOQ and EPQ Models

Advances in Operations Research, 2011-01, Vol.2011, p.1-23

2011

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The Transformation Method for Continuous-Time Markov Decision Processes

Journal of optimization theory and applications, 2012-08, Vol.154 (2), p.691-712

2012

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On gradual-impulse control of continuous-time Markov decision processes with exponential utility

Advances in applied probability, 2021-06, Vol.53 (2), p.301-334

2021

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Infinite horizon optimal impulsive control with applications to Internet congestion control

International journal of control, 2015-04, Vol.88 (4), p.703-716

2015

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Discounted continuous-time Markov decision processes with unbounded rates and randomized history-dependent policies: the dynamic programming approach

4OR, 2014-03, Vol.12 (1), p.49-75

2014

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Optimal Impulse Control of Dynamical Systems

SIAM journal on control and optimization, 2019-01, Vol.57 (4), p.2720-2752

2019

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Note on discounted continuous-time Markov decision processes with a lower bounding function

Journal of applied probability, 2017-12, Vol.54 (4), p.1071-1088

2017

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Modern Trends in Controlled Stochastic Processes: Theory and Applications, V.III

Continuous-Time Markov Decision Processes: Borel Space Models and General Control Strategies

Duality in optimal impulse control

Extreme Occupation Measures in Markov Decision Processes with an Absorbing State

Aggregated occupation measures and linear programming approach to constrained impulse control problems

Realizable Strategies in Continuous-Time Markov Decision Processes

Gradual-Impulsive Control for Continuous-Time Markov Decision Processes with Total Undiscounted Costs and Constraints: Linear Programming Approach via a Reduction Method

Linear programming approach to optimal impulse control problems with functional constraints

On the Continuity of the Projection Mapping from Strategic Measures to Occupation Measures in Absorbing Markov Decision Processes

Modelling ethnogenesis

Randomized and Relaxed Strategies in Continuous-Time Markov Decision Processes

Sufficiency of Deterministic Policies for Atomless Discounted and Uniformly Absorbing MDPs with Multiple Criteria

On the equivalence of the integral and differential Bellman equations in impulse control problems

Modern Trends in Controlled Stochastic Processes: Theory and Applications, V. III

On Reducing a Constrained Gradual-Impulsive Control Problem for a Jump Markov Model to a Model with Gradual Control Only

Hitting Times in Markov Chains with Restart and their Application to Network Centrality

Optimal impulse control of a SIR epidemic

On the equivalence of the integral and differential Bellman equations in impulse control problems

On the Accuracy of Fluid Approximations to a Class of Inventory-Level-Dependent EOQ and EPQ Models

The Transformation Method for Continuous-Time Markov Decision Processes

On gradual-impulse control of continuous-time Markov decision processes with exponential utility

Infinite horizon optimal impulsive control with applications to Internet congestion control

Discounted continuous-time Markov decision processes with unbounded rates and randomized history-dependent policies: the dynamic programming approach

Optimal Impulse Control of Dynamical Systems

Note on discounted continuous-time Markov decision processes with a lower bounding function

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