Copertina

A Bi-Objective Markov Decision Process Design approach to redundancy allocation with dynamic maintenance for a parallel system

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fairley, Luke, Shone, Rob, Jacko, Peter, Huang, Jefferson
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Stochastic dynamic job scheduling with interruptible setup and processing times: An approach based on queueing control
di: Tian, Dongnuan, et al.
Pubblicazione: (2025)

Dynamic Repair and Maintenance of Heterogeneous Machines Dispersed on a Network: A Rollout Method for Online Reinforcement Learning
di: Tian, Dongnuan, et al.
Pubblicazione: (2026)

Markov Decision Process Design: A Framework for Integrating Strategic and Operational Decisions
di: Brown, Seth, et al.
Pubblicazione: (2023)

Absorbing Markov Decision Processes
di: Dufour, François, et al.
Pubblicazione: (2023)

Tractable Robust Markov Decision Processes
di: Grand-Clément, Julien, et al.
Pubblicazione: (2024)

Mean Field Markov Decision Processes
di: Bäuerle, Nicole
Pubblicazione: (2021)

Dynamic Capital Requirements for Markov Decision Processes
di: Haskell, William B., et al.
Pubblicazione: (2024)

Markov Decision Processes with Value-at-Risk Criterion
di: Xia, Li, et al.
Pubblicazione: (2025)

Convex Approximations of Random Constrained Markov Decision Processes
di: Varagapriya, V, et al.
Pubblicazione: (2025)

Operator Splitting for Convex Constrained Markov Decision Processes
di: Grontas, Panagiotis D., et al.
Pubblicazione: (2024)

Robust Markov Decision Processes on Continuous State Spaces
di: Li, Mengmeng, et al.
Pubblicazione: (2026)

Rectangularity and duality of distributionally robust Markov Decision Processes
di: Li, Yan, et al.
Pubblicazione: (2023)

Optimal Sample Complexity for Average Reward Markov Decision Processes
di: Wang, Shengbo, et al.
Pubblicazione: (2023)

Computational Hardness of Static Distributionally Robust Markov Decision Processes
di: Li, Yan
Pubblicazione: (2025)

Semismooth Newton Methods for Risk-Averse Markov Decision Processes
di: Gargiani, Matilde, et al.
Pubblicazione: (2025)

Markov Decision Process and Approximate Dynamic Programming for a Patient Assignment Scheduling problem
di: O'Reilly, Malgorzata M., et al.
Pubblicazione: (2024)

Measurized Markov Decision Processes
di: Adelman, Daniel, et al.
Pubblicazione: (2024)

On the Convergence Rate of MCTS for the Optimal Value Estimation in Markov Decision Processes
di: Chang, Hyeong Soo
Pubblicazione: (2024)

Inexact Policy Iteration Methods for Large-Scale Markov Decision Processes
di: Gargiani, Matilde, et al.
Pubblicazione: (2024)

Contributions on complexity bounds for Deterministic Partially Observed Markov Decision Process
di: Vessaire, Cyrille, et al.
Pubblicazione: (2023)

A Markov Decision Process Framework for Enhancing Power System Resilience during Wildfires under Decision-Dependent Uncertainty
di: Zhao, Xinyi, et al.
Pubblicazione: (2026)

Robust Reward Design for Markov Decision Processes
di: Wu, Shuo, et al.
Pubblicazione: (2024)

A Bayesian Composite Risk Approach for Stochastic Optimal Control and Markov Decision Processes
di: Ma, Wentao, et al.
Pubblicazione: (2024)

A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
di: Lin, Zhenwei, et al.
Pubblicazione: (2024)

Stability Analysis of An Integrated Multistage Stochastic Programming and Markov Decision Process Problem
di: Yang, Zhiyao, et al.
Pubblicazione: (2025)

Risk-Averse Markov Decision Processes: Applications to Electricity Grid and Reservoir Management
di: Khojaste, Arash, et al.
Pubblicazione: (2026)

An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision Processes
di: Liu, Huikang, et al.
Pubblicazione: (2024)

The implications of state aggregation in deteriorating Markov Decision Processes with optimal threshold policies
di: Pollack, Madeleine, et al.
Pubblicazione: (2024)

Reoptimization Nearly Solves Weakly Coupled Markov Decision Processes
di: Gast, Nicolas, et al.
Pubblicazione: (2022)

Markov Decision Processing Networks
di: Bhambay, Sanidhay, et al.
Pubblicazione: (2025)

A stochastic programming approach for dynamic allocation of bed capacity and assignment of patients to collaborating hospitals during pandemic outbreaks
di: Baas, Stef, et al.
Pubblicazione: (2023)

Weakly Time-Coupled Approximation of Markov Decision Processes
di: Soheili, Negar, et al.
Pubblicazione: (2026)

Online Markov Decision Processes with Terminal Law Constraints
di: Moreno, Bianca Marin, et al.
Pubblicazione: (2026)

Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes
di: Lee, Jongmin, et al.
Pubblicazione: (2025)

Absorbing Markov Decision Processes: Geometric Properties and Sufficiency of Finite Mixtures of Deterministic Policies
di: Dufour, Francois, et al.
Pubblicazione: (2025)

Sample Complexity for Markov Decision Processes and Stochastic Optimal Control with Static Risk Measures
di: Chávez, Cristian, et al.
Pubblicazione: (2026)

Beyond Average Return in Markov Decision Processes
di: Marthe, Alexandre, et al.
Pubblicazione: (2023)

A general approach to optimal imperfect maintenance activities of a repairable equipment with imperfect maintenance and multiple failure modes
di: Mullor, Rubén, et al.
Pubblicazione: (2024)

Quantum Markov Decision Processes: General Theory, Approximations, and Classes of Policies
di: Saldi, Naci, et al.
Pubblicazione: (2024)

Online Reinforcement Learning in Markov Decision Process Using Linear Programming
di: Leon, Vincent, et al.
Pubblicazione: (2023)