Cover Image

Markov Decision Process and Approximate Dynamic Programming for a Patient Assignment Scheduling problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	O'Reilly, Malgorzata M., Krasnicki, Sebastian, Montgomery, James, Heydar, Mojtaba, Turner, Richard, Van Dam, Pieter, Maree, Peter
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Systems and Control Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Online Multiobjective Policy Gradient for Long-run Average-reward Markov Decision Process
by: Misra, Rahul, et al.
Published: (2025)

Optimal Risk-Sensitive Scheduling Policies for Remote Estimation of Autoregressive Markov Processes
by: Dutta, Manali, et al.
Published: (2024)

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

On Pioneering Works of Albert Shiryaev on Markov Decision Processes and Some Later Developments
by: Feinberg, Eugene A.
Published: (2025)

Markov Decision Processing Networks
by: Bhambay, Sanidhay, et al.
Published: (2025)

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

Early predicting of hospital admission using machine learning algorithms: Priority queues approach
by: Antczak, Jakub, et al.
Published: (2026)

Non-Exchangeable Mean Field Markov Decision Processes with common noise : from Bellman equation to quantitative propagation of chaos
by: Mekkaoui, Samy, et al.
Published: (2026)

Bounding the Difference between the Values of Robust and Non-Robust Markov Decision Problems
by: Neufeld, Ariel, et al.
Published: (2023)

Asymptotically Optimal Appointment Scheduling in the Presence of Patient Unpunctuality
by: Lipscomb, Nikolai, et al.
Published: (2024)

Nonuniform-Grid Markov Chain Approximation of Continuous Processes with Time-Linear Moments
by: Kim, Do Hyun, et al.
Published: (2025)

Node Reliability: Approximation, Upper Bounds, and Applications to Network Robustness
by: Liu, Xinhan, et al.
Published: (2024)

Robust $Q$-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty
by: Neufeld, Ariel, et al.
Published: (2022)

Approximation of Singular-Stopping Control Driven by Hawkes Processes via Rescaled MDPs
by: Agostino, Isabel, et al.
Published: (2026)

Throughput Maximizing Takeoff Scheduling for eVTOL Vehicles in On-Demand Urban Air Mobility Systems
by: Pooladsanj, Milad, et al.
Published: (2025)

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

Explicit Steady-State Approximations for Parallel Server Systems with Heterogeneous Servers
by: Xu, Yaosheng
Published: (2024)

Further remarks on absorbing Markov decision processes
by: Zhang, Yi, et al.
Published: (2024)

Decision-Focused Bias Correction for Fluid Approximation
by: Er, Can, et al.
Published: (2025)

Two results from Mandelbaum's paper: "The dynamic complementarity problem"
by: Bass, Richard
Published: (2024)

Langevin dynamics for the probability of finite state Markov processes
by: Li, Wuchen
Published: (2023)

Stability of Partitions Induced by Nearest-Center Assignment Under Perturbations
by: Sabit, MD Nahidul Hasan, et al.
Published: (2026)

Markov decision processes: on the convergence of the Monte-Carlo first visit algorithm
by: Delattre, Sylvain, et al.
Published: (2025)

Nonstationary nonzero-sum Markov games under a probability criterion
by: Guo, Xin, et al.
Published: (2025)

Markov-Nash equilibria in mean-field games under model uncertainty
by: Langner, Johannes, et al.
Published: (2024)

Optimal Scheduling of Uplink-Downlink Networked Control Systems with Energy Harvesting Sensor
by: Dutta, Manali, et al.
Published: (2024)

Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
by: Lin, Yifan, et al.
Published: (2023)

Best Ergodic Averages via Optimal Graph Filters in Reversible Markov Chains
by: Saldi, Naci
Published: (2024)

Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
by: Srikant, R.
Published: (2024)

Distribution-free expectation operators for robust pricing and stocking with heavy-tailed demand
by: Kleer, Pieter, et al.
Published: (2024)

On reachability of Markov decision processes: a novel state-classification-based PI approach
by: Li, Yanyun, et al.
Published: (2023)

Asymptotic Optimality in Data-Driven Decision Making
by: Salač, Radek, et al.
Published: (2025)

Stochastic Graphon Games with Jumps and Approximate Nash Equilibria
by: Amini, Hamed, et al.
Published: (2023)

Optimal control of McKean-Vlasov systems under partial observation and hidden Markov switching
by: Fuhrman, Marco, et al.
Published: (2026)

Linear Algebraic Truncation Algorithm with A Posteriori Error Bounds for Computing Markov Chain Equilibrium Gradients
by: Mahdian, Saied, et al.
Published: (2025)

Distributionally robust monopoly pricing: Switching from low to high prices in volatile markets
by: van Eck, Tim S. G., et al.
Published: (2024)

Team problems and stochastic programming
by: Evstigneev, Igor V., et al.
Published: (2025)

Zero-Sum Games for piecewise deterministic Markov decision processes with risk-sensitive finite-horizon cost criterion
by: Golui, Subrata
Published: (2024)

Almost Sure Convergence of Stochastic Approximation: An Interplay of Noise and Step Size
by: Nguyen, Quang Dinh Thien, et al.
Published: (2026)

Approximate Computation of Loss Probability for Queueing System with Capacity Sharing Discipline
by: Yashina, M. V., et al.
Published: (2024)