Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records. [PDF]
Sci Rep, 2021 Oh SH, Lee SJ, Noh J, Mo J.
europepmc +1 more source
An optimistic value iteration for mean–variance optimization in discounted Markov decision processes
Results in Control and Optimization, 2022 This paper proposes an optimistic value iteration for steady-state mean–variance optimization in infinite-horizon discounted Markov decision processes (MDPs). The involved variance metric concerns reward variability in the long run, and future deviations
Shuai Ma, Xiaoteng Ma, Li Xia
doaj
Contralateral exploration and repair of occult inguinal hernias during laparoscopic inguinal hernia repair: systematic review and Markov decision process. [PDF]
BJS Open, 2021 Dhanani NH +7 more
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Algebraic Markov Decision Processes [PDF]
, 2005 In this paper, we provide an algebraic approach to Markov Decision Processes (MDPs), which allows a unified treatment of MDPs and includes many existing models (quantitative or qualitative) as particular cases. In algebraic MDPs, rewards are expressed in a semiring structure, uncertainty is represented by a decomposable plausibility measure valued on a
Perny, Patrice +2 more
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Pulse‐Level Quantum Robust Control with Diffusion‐Based Reinforcement Learning
Advanced Physics Research, EarlyView.This paper proposes a diffusion‐based reinforcement learning method for pulse‐level quantum robust control (PQC‐DBRL) to enhance the robustness of pulse‐level quantum gate control. When evaluated across different Hamiltonian variations, PQC‐DBRL shows a smaller fidelity variance compared to GRAPE, indicating higher robustness against system parameter ...
Yuanjing Zhang +3 more
wiley +1 more source
European Journal of Immunology, Volume 53, Issue 1, January 2023., 2023 The effect of habitual Western diet and salt‐reduced diet on the levels of systemic blood cytokines was analyzed in a placebo‐controlled nutritional intervention study. The results showed that reduced salt intake did not alter the concentrations of any of the analyzed 34 cytokines in blood.
Teemu Niiranen +4 more
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A Theory of Regularized Markov Decision Processes
, 2019 International ...
Geist, Matthieu +2 more
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Sloppiness Consistency in Biomechanical Models and Its Inspired Dual‐Space Model Optimization
Advanced Physics Research, EarlyView.This study addresses the challenge of balancing complexity, accuracy, and parameter identifiability in soft tissue constitutive modeling. By leveraging information geometry and sensitivity analysis, the sloppiness inherent in biomechanical models is revealed, and a model reduction framework is proposed. This approach optimizes parameter identifiability
Jiabao Tang +3 more
wiley +1 more source
Federated Learning with Efficient Aggregation via Markov Decision Process in Edge Networks
MathematicsFederated Learning (FL), as an emerging paradigm in distributed machine learning, has received extensive research attention. However, few works consider the impact of device mobility on the learning efficiency of FL.
Tongfei Liu, Hui Wang, Maode Ma
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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
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