Decoding development: the AI frontier in policy crafting: A systematic review by Sofiarti Dyah Anggunia, Jesse Sowell, María Pérez-Ortiz

“…The analysis underscores their integration within and across stages of the policy planning cycle: problem diagnosis and goal articulation; resource and constraint identification; design of alternative solutions; outcome projection; and evaluation. …”
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Research on LSTM-PPO Obstacle Avoidance Algorithm and Training Environment for Unmanned Surface Vehicles by Wangbin Luo, Xiang Wang, Fang Han, Zhiguo Zhou, Junyu Cai, Lin Zeng, Hong Chen, Jiawei Chen, Xuehua Zhou

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METHODOLOGY OF STUDYING THE STRATEGY OF INSTRUMENTALIZATION AND TECHNOLOGICAL IMPLEMENTATION OF THE YOUTH POLICY OF THE RUSSIAN FEDERATION by O. N. Blinnikova, N. N. Pachina, A. R. Pachin

“…The article discusses the implementation algorithms of value technology, technology for the formation of a young family, health-saving technology, technology for the development of socio-economic potential, information technology in the youth policy system of the Russian Federation.…”
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A New Proposal for Intelligent Continuous Controller of Robotic Finger Prostheses Using Deep Deterministic Policy Gradient Algorithm Through Simulated Assessments by Guilherme de Paula Rúbio, Matheus Carvalho Barbosa Costa, Claysson Bruno Santos Vimieiro

“…To improve the adaptability of the hand prosthesis, we propose a new smart control for a physiological finger prosthesis using the advantages of the deep deterministic policy gradient (DDPG) algorithm. A rigid body model was developed to represent the finger as a training environment. …”
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GeoBM: A Python-based tool for integrated visualization of global bibliometric data by Chun Chong Fu, Jorge Fleta-Asín, Fernando Muñoz, Carlos Sáenz-Royo, Loo Keat Wei

“…Implemented in Python, the framework leverages modular, algorithmically optimized routines for real-time data processing and visualization, incorporating statistical controls to mitigate overdispersion and enhance visual fidelity. …”
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Vertical handover policy for cyber-physical systems aided by SAGIN based on deep reinforcement learning by WU Yan, PAN Guangchuan, YAO Mingwu, YANG Qinghai, LEUNG Victor C.M.

“…The vertical handover policy of space-air-ground integrated cyber-physical systems based on deep reinforcement learning was studied, in which the challenges of complicated network model and difficulties in acquiring prior knowledge for network topology and model were addressed. …”
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A comprehensive techno-economic analysis for a PHEV-integrated microgrid system involving wind uncertainty and diverse demand side management policies by Bishwajit Dey, Laishram Khumanleima Chanu, Gulshan Sharma, Pitshou N. Bokoro

“…Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) methods are integrated in this approach. The research investigation employed the Differential Evolution (DE) algorithm as an optimization technique. …”
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Transforming aged care in China: insights from a TF-IDF-based data mining analysis of national policies (2018–2022) by Zhihan Liu, Hebin Li, Ziyan Zhang, Lu Ping, Wenxin Gu, Yuan Yao

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Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading by Jinghui Wu, Wenjun Zhu, Yun Xu, Kangan Shu, Wei Yang

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Tracking Control of CSTRs Based on Improved OU Noise and the TD3 Algorithm by Hongyan Shi, Xiaofei Wu, Guogang Wang

“…To address this challenge, this study proposes a novel deep reinforcement learning (DRL) approach that integrates an improved Ornstein-Uhlenbeck (IOU) noise into the twin delayed deep deterministic policy gradient (TD3) algorithm. …”
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Investigation into the Performance Enhancement and Configuration Paradigm of Partially Integrated RL-MPC System by Wanqi Guo, Shigeyuki Tateno

“…The improvement of the partially integrated reinforcement learning-model predictive control (RL-MPC) system is developed in the paper by introducing the Deep Deterministic Policy Gradient (DDPG) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. …”
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Vehicle-To-Grid (V2G) Charging and Discharging Strategies of an Integrated Supply–Demand Mechanism and User Behavior: A Recurrent Proximal Policy Optimization Approach by Chao He, Junwen Peng, Wenhui Jiang, Jiacheng Wang, Lijuan Du, Jinkui Zhang

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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…This study presents a novel framework that integrates the Spatiotemporal Graph Convolutional Network-Long Short-Term Memory (STGCN-LSTM) model for traffic flow prediction with the Proximal Policy Optimization (PPO) algorithm for dynamic traffic signal control. …”
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Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy by Roberta Papa, Francesco Balducci, Giulia Franceschini, Marco Pompili, Marco De Marco, Josep Roca, Rubèn González-Colom, David Monterde

“…Abstract Background Population-based Health Risk Assessment (HRA) tools are strategic for the implementation of integrated care. Various HRA algorithms have been developed in the last decades worldwide. …”
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Flexible Demand Side Management in Smart Cities: Integrating Diverse User Profiles and Multiple Objectives by Nuno Souza e Silva, Paulo Ferrão

“…Initially, a single-objective optimization approach using Genetic Algorithms (GAs) is employed to minimize the total energy cost under a real Time-of-Use (ToU) pricing scheme. …”
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Integrated DDPG-PSO energy management systems for enhanced battery cycling and efficient grid utilization by Oladimeji Ibrahim, Mohd Junaidi Abdul Aziz, Razman Ayop, Wen Yao Low, Nor Zaihar Yahaya, Ahmed Tijjani Dahiru, Temitope Ibrahim Amosa, Shehu Lukman Ayinla

“…Effective energy management is crucial in hybrid energy systems for optimal resource utilization and cost savings. This study integrates Deep Deterministic Policy Gradient (DDPG) with Particle Swarm Optimization (PSO) to enhance exploration and exploitation in the optimization process, aiming to improve energy resource utilization and reduce costs in hybrid energy systems. …”
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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…This research contributes to educational theory by proposing a revised framework for AI-human collaboration in knowledge production. We conclude with policy recommendations for governance frameworks that balance innovation with academic integrity, emphasizing faculty co-design approaches and the establishment of cross-disciplinary communities of practice.…”
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BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways by Yunze Xie, Yiping Ma, Yiming Cheng, Zhiqian Li, Xiaoyu Liu

“…This research proposes a hybrid path planning framework for intelligent inland waterway Unmanned Surface Vehicles (USVs), which integrates the enhanced BIT* (Batch Informed Trees) algorithm with the TD3 (Twin Delayed Deep Deterministic Policy Gradient) deep reinforcement learning method. …”
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EV charging stations for sustainable urban transport electrification in the Arabian Peninsula: Performance assessment, social-economic aspects, opportunities, implementation challe... by Jamiu O. Oladigbolu, Asad Mujeeb, Mohd Bilal, Yusuf A. Al-Turki, Saleh S. Alharbi, Salah S. Alharbi

“…The effectiveness and innovation of HGWCSA are validated through comparative performance assessments against conventional metaheuristic algorithms. The study further contributes novel insights by thoroughly assessing techno-economic feasibility, socio-economic opportunities, strategic policies, and implementation challenges within the context of sustainable e-mobility from a case study perspective in the Arabian Peninsula. …”
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Experimental Research on the Correction of Vortex Light Wavefront Distortion by Yahang Ge, Xizheng Ke

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