Results 81 to 90 of about 12,894,975 (292)

Underwater chemical plume tracing based on partially observable Markov decision process

open access: yesInternational Journal of Advanced Robotic Systems, 2019
Chemical plume tracing based on autonomous underwater vehicle uses chemical as a guidance to navigate and search in the unknown environments. To solve the key issue of tracing and locating the source, this article proposes a path-planning strategy based ...
Jiu Hai-Feng   +3 more
doaj   +1 more source

Bounds for Synchronizing Markov Decision Processes

open access: yes, 2022
We consider Markov decision processes with synchronizing objectives, which require that a probability mass of $1-ε$ accumulates in a designated set of target states, either once, always, infinitely often, or always from some point on, where $ε= 0$ for sure synchronizing, and $ε\to 0$ for almost-sure and limit-sure synchronizing.
Doyen, Laurent, van den Bogaard, Marie
openaire   +3 more sources

Switching Spike Plasticity Shapes ACE2 Engagement Across SARS‐CoV‐2 Variants

open access: yesAdvanced Science, EarlyView.
Conformational plasticity governs SARS‐CoV‐2 spike function and ACE2 recognition. Using high‐speed AFM and single‐molecule force spectroscopy, we analyzed the ancestral spike and nine variants, revealing progressive rigidification from Delta, variable plasticity in Omicron sublineages, and JN.1 compaction.
Sarah Stainer   +17 more
wiley   +1 more source

Research of proactive complex event processing method

open access: yesTongxin xuebao, 2016
Based on the preliminary analysis results of the indeterminate event stream that generated by the sensors and control purpose equipment of CPS,the adaptive dynamic Bayesian network and parallel Markov decision process model were used to support the ...
Shao-feng GENG   +3 more
doaj   +2 more sources

The value functions of Markov decision processes

open access: yesOperations Research Letters, 2016
We provide a full characterization of the set of value functions of Markov decision processes.
Ehud Lehrer, Eilon Solan, Omri N. Solan
openaire   +2 more sources

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

open access: yesAdvanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo   +10 more
wiley   +1 more source

Tractable Infinite Order Markov Analysis for Iterated Games with Learners [PDF]

open access: yes, 2014
The theory of games involving players who adaptively learn from their past experiences is not yet well understood. We analyze games in which players make on each turn a probabilistic choice of actions determined by a k^-order Markov process which ...
Akira Masumi   +5 more
core   +1 more source

Probing the Energy Landscape of α‐Synuclein Amyloid Fibril Formation by Systematic K‐to‐Q Mutagenesis

open access: yesAdvanced Science, EarlyView.
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka   +10 more
wiley   +1 more source

Data-Driven Iron and Steel Inventory Control Policies

open access: yesMathematics, 2019
In this study, we investigated the optimal material inventory policy with regard to the iron and steel industry’s effort to reduce massive overstocking issues in the face of increased corporate competitiveness.
Shih-Hsien Tseng, Jia-Chen Yu
doaj   +1 more source

Robust Markov Decision Processes [PDF]

open access: yes
Markov decision processes (MDPs) are powerful tools for decision making in uncertain dynamic environments. However, the solutions of MDPs are of limited practical use due to their sensitivity to distributional model parameters, which are typically ...
Berç Rustem   +2 more
core  

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