Energy Management of Electric–Hydrogen Coupled Integrated Energy System Based on Improved Proximal Policy Optimization Algorithm by Jingbo Zhao, Zhengping Gao, Zhe Chen

Subjects: “…proximal policy optimization algorithm…”
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An Effective Algorithm for Collision Resolution in Security Policy Rules by Sergey V. Morzhov, Valeriy A. Sokolov

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Task Offloading Scheme Based on Proximal Policy Optimization Algorithm by Yutong Ma, Junfeng Tian

“…To address this issue, this paper proposes a task offloading scheme based on the Proximal Policy Optimization (PPO) algorithm. On the basis of traditional cloud edge collaborative architecture, the collaborative computing mechanism between edge node devices is further integrated, and the concept of service caching is introduced to reduce duplicate data transmission, reduce communication latency and network load, and improve overall system performance. …”
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Pseudo-Target Optimization Strategy Based on Policy Iteration Algorithm by Yiming Meng, Daichen Liu, Ziyuan Wang

“…To address the issue of redundant states in the application of the policy iteration algorithm in the environmental model optimization process and to accelerate the convergence speed of the algorithm, this paper proposes a pseudo-target optimization algorithm based on the policy iteration algorithm in combination with the Manhattan distance. …”
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Industrial policy and subsoil use: an integration of science, education and industry by Yu. B. Vinslav, S. V. Lisov

“…The principals of the organization of integrated activity are worked out, which concern: actualization of the needs of the industry in innovations and competitive staff; accounting of the factor of «fall down» of the market in state regulation; the balanced industrial, scientific-technical and educational policy at macro- and meso-levels; the presence of leading organization in the interaction; project approach to the interaction activity. …”
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Integration of flexible corporate demographic policy tools into the personnel management system by Natalya V. Tonkikh, Marina V. Chudinovskikh, Svetlana V. Begicheva

“…The paper presents a model and an algorithm for integrating flexible organizational and labour tools of corporate demographic policy into the personnel management system. …”
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Cluster Policy Based on the Analysis of the Situation in the Municipality by Yu. N. Lapygin, D. V. Tulinova

“…An algorithm for constructing a cluster policy at the level of the municipality based on the results of the analysis of factors of the external and internal environment is developed. …”
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An Analytic Policy Gradient-Based Deep Reinforcement Learning Motion Cueing Algorithm for Driving Simulators by Xiaowei Huang, Xuhua Shi, Peiyao Wang, Hongzan Xu, Xiaojun Tang, Gaoran Zhang

“…The proposed motion cueing algorithm (MCA), based on a reinforcement learning algorithm using gradient information to directly update the control policy, introduces three significant enhancements. …”
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THE "GAP MODEL" AS AN ANALITICAL TOOL TO STUDY MIGRATION POLICY IN THE END OF XX CENTURY by Victor Apryshchenko

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A low-carbon optimization scheduling method of CIES based on PPO algorithm by CHEN Fan, WU Lingxiao, WANG Man, LYU Ganyun, ZHANG Xiaolian

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A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation by Zimo Zhu, Chuanqiang Yu, Junti Wang

“…To address these limitations, this study introduces a proximal policy optimization system augmented with a genetic algorithm (GAPPO) that integrates evolutionary search with deep reinforcement learning. …”
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Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm by Haitao Li, Chenyu Wang, Shufu Yuan, Hui Zhu, Bo Li, Yuexin Liu, Li Sun

“…To overcome these limitations, this paper proposes a novel energy scheduling framework that integrates the Model Predictive Control (MPC) with a Deep Reinforcement Learning algorithm, specifically the Deep Deterministic Policy Gradient (DDPG). …”
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Fast-Charging Optimization Method for Lithium-Ion Battery Packs Based on Deep Deterministic Policy Gradient Algorithm by Zhi Zhang, Taijun Guo, Yefeng Liu, Xinfu Pang, Zedong Zheng

“…The model employs the deep deterministic policy gradient (DDPG) algorithm integrated with reward centralization and entropy regularization mechanisms, aiming to dynamically adjust the charging current to achieve an optimal balance between fast charging and battery health. …”
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Causal contextual bandits with one-shot data integration by Chandrasekar Subramanian, Chandrasekar Subramanian, Balaraman Ravindran, Balaraman Ravindran

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Autonomous Maneuvering Decision-Making Algorithm for Unmanned Aerial Vehicles Based on Node Clustering and Deep Deterministic Policy Gradient by Xianyong Jing, Fuzhong Cong, Jichuan Huang, Chunyan Tian, Zikang Su

“…To address this issue, we propose a node clustering (NC) method, inspired by grid clustering, integrated into the DDPG algorithm for the learning of complex strategies. …”
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Fairness in Healthcare Services for Italian Older People: A Convolution-Based Evaluation to Support Policy Decision Makers by Davide Donato Russo, Frida Milella, Giuseppe Di Felice

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Implications of algorithmic bias in AI-driven emergency response systems by Katsiaryna Bahamazava

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Governance for anti-racist AI in healthcare: integrating racism-related stress in psychiatric algorithms for Black Americans by Christopher T. Fields, Christopher T. Fields, Carmen Black, Carmen Black, Jannat K. Thind, Oluwole Jegede, Oluwole Jegede, Damla Aksen, Matthew Rosenblatt, Shervin Assari, Chyrell Bellamy, Elijah Anderson, Avram Holmes, Dustin Scheinost

“…This Perspective argues that algorithmic bias—manifested in the worsened performance of clinical algorithms for Black vs. white patients—is significantly driven by the failure to model the cumulative impacts of racism-related stress, particularly racial heteroscedasticity. …”
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Ethical and privacy challenges of integrating generative AI into EHR systems in Tanzania: A scoping review with a policy perspective by Augustino Mwogosi

“…Objectives This study examines the ethical and privacy challenges of integrating generative artificial intelligence (AI) into electronic health record (EHR) systems, focusing on Tanzania's healthcare context. …”
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Integrating AI Deep Reinforcement Learning With Evolutionary Algorithms for Advanced Threat Detection in Smart City Energy Management by Fenghua Liu, Xiaoming Li

“…The integration of Deep Reinforcement Learning (DRL) with Evolutionary Algorithms (EAs) represents a significant advancement in optimizing smart city energy operations, addressing the inherent uncertainties and dynamic conditions of urban environments. …”
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