Results 151 to 160 of about 35,395 (320)

EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications

Engineering Reports
In recent years, penetration testing (pen‐testing) has emerged as a crucial process for evaluating the security level of network infrastructures by simulating real‐world cyber‐attacks.
Zegang Li, Qian Zhang, Guangwen Yang
doaj   +1 more source

Pathwise uniform value in gambling houses and Partially Observable Markov Decision Processes [PDF]

, 2015
Xavier Venel, Bruno Ziliotto
openalex   +1 more source

Time‐ and State‐Dependent Damage Accumulation Due to Aftershocks Under an M9.0 Megathrust Earthquake in the Cascadia Subduction Zone

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley   +1 more source

Pond-Hindsight: Applying Hindsight Optimization to Partially-Observable Markov Decision Processes

, 2021
Alan Olsen
openalex   +2 more sources

Analysis of Energy Consumption, Economic Efficiency and Carbon Emissions of Ice Slurry Direct Supply System: A Case Study of China

Energy Science &Engineering, EarlyView.
ABSTRACT Traditional air conditioners suffer from low energy efficiency and exacerbate grid peak loads. While ice storage offers energy‐saving potential, the systematic regulation of ice packing fraction (IPF) on cooling consumption and its synergy with dynamic carbon emissions remains unexplored.
Di Yang, Wenpeng Hong, Xu Jin
wiley   +1 more source

Mortality Forecasting Using Variational Inference

Journal of Forecasting, EarlyView.
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley   +1 more source

Planning with Partially Observable Markov Decision Processes: Advances\n in Exact Solution Method [PDF]

, 2013
Nevin L. Zhang, Stephen S. Lee
openalex   +1 more source

Data Analytics of an Information System Based on a Markov Decision Process and a Partially Observable Markov Decision Process

, 2023
Lidong Wang, Reed L. Mosher, Terril C. Falls, Patti Duett   +3 more
openalex   +2 more sources

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

Journal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

Structural Results for Partially Observed Markov Decision Processes

, 2015
This article provides an introductory tutorial on structural results in partially observed Markov decision processes (POMDPs). Typically, computing the optimal policy of a POMDP is computationally intractable. We use lattice program- ming methods to characterize the structure of the optimal policy of a POMDP without brute force computations.
openaire   +2 more sources