Results 121 to 130 of about 937,585 (275)
Partially Observable Total-Cost Markov Decision Processes with Weakly Continuous Transition Probabilities [PDF]
arXiv, 2014 This paper describes sufficient conditions for the existence of optimal policies for Partially Observable Markov Decision Processes (POMDPs) with Borel state, observation, and action sets and with the expected total costs. Action sets may not be compact and one-step cost functions may be unbounded.
arxiv
American Journal of Hematology, EarlyView.ABSTRACT Allogeneic hematopoietic stem‐cell transplantation (HCT) remains the only potentially curative therapy for patients with myelodysplastic neoplasms (MDS) and myelofibrosis (MF) and is the standard care for eligible patients with higher‐risk disease. Despite significant advancements, both diseases pose unique challenges due to their clinical and
Nico Gagelmann, Nicolaus Kröger
wiley +1 more source
Mission‐centric decision support in cybersecurity via Bayesian Privilege Attack Graph
Engineering Reports, Volume 4, Issue 12, December 2022., 2022 We propose a mission‐centric approach to assessing the risks of cyber attacks on the organization's mission and provide decision support to network security administrators. Our approach uses a unique stochastic model that connects vulnerability impacts to the mission's security requirements and allows selecting the most resilient configuration of ...
Michal Javorník, Martin Husák
wiley +1 more source
Cost‐Effectiveness of Ferritin Screening Thresholds for Iron Deficiency in Reproductive‐Age Women
American Journal of Hematology, EarlyView.ABSTRACT Iron deficiency (ID) is a top five leading cause of disability‐adjusted life‐years in women of reproductive age around the world. Despite its enormous health burden, no screening guidelines exist for the detection and treatment of ID in women of reproductive age.
Daniel Wang +7 more
wiley +1 more source
Modeling the spatial evolution wildfires using random spread process
Environmetrics, Volume 33, Issue 8, December 2022., 2022 Abstract The study of wildfire spread and the growth of the area burned is an important task in ecological studies and in other contexts. In this work we present a model for fire spread and show the results obtained from simulations of burned areas. The model is based on probabilities of fire at different locations. Such probabilities are obtained from
Carlos Díaz‐Avalos, Pablo Juan
wiley +1 more source
Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions [PDF]
arXiv, 2015 The focus of this paper is on solving multi-robot planning problems in continuous spaces with partial observability. Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for multi-robot coordination problems, but representing and solving Dec-POMDPs is often intractable for large problems.
arxiv
Active Learning in Partially Observable Markov Decision Processes [PDF]
, 2005 This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. We propose two approaches to this problem. The first relies on a model of the uncertainty that is added directly into the POMDP planning problem. This has theoretical guarantees,
Robin Jaulmes +2 more
openaire +2 more sources
Stochastic Hydrodynamic Velocity Field and the Representation of Langevin Equations
Annalen der Physik, EarlyView.A lumped method is proposed to account for both mean‐field hydrodynamics and stochastic fluctuations within the kinematic equations of motion, providing a regularized formulation of the overdamped approximation. The concept of stochastic realizability in broad sense is introduced based on the spectral properties of the Fredholm operator associated with
Massimiliano Giona +2 more
wiley +1 more source
International Journal of Energy Research, Volume 46, Issue 15, Page 22516-22529, December 2022., 2022 This study presents a control oriented, stochastic filtering approach for online, continuous estimation of the exchange current density in low temperature proton exchange membrane fuel cells. The fuel cell is framed as a Markov model where the exchange current density is posed as the stochastic hidden state and a particle filter algorithm is developed ...
José Agustín Aguilar +2 more
wiley +1 more source
Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget [PDF]
, 2019 Mahsa Ghasemi, Ufuk Topcu
openalex +3 more sources