Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning by Arvi Jonnarth, Ola Johansson, Jie Zhao, Michael Felsberg

“…Coverage path planning (CPP) is the problem of finding a path that covers the entire free space of a confined area, with applications ranging from robotic lawn mowing to search-and-rescue. …”
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Reinforcement Learning-Based Safe Path Planning for a 3R Planar Robot by Mustafa Can Bingol

“…Path planning is an essential topic of robotics studies. …”
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Improved Model Predictive Control Algorithm for the Path Tracking Control of Ship Autonomous Berthing by Chunyu Song, Xiaomin Guo, Jianghua Sui

“…To address the issues of path tracking accuracy and control stability in autonomous ship berthing, an improved algorithm combining nonlinear model predictive control (NMPC) and convolutional neural networks (CNNs) is proposed in this paper. …”
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Path-Aware Knowledge Injection for Fine-Grained Emotion Recognition in Mental Health Counseling by Haili Zhang, Dun Niu

“…To address this, we propose PK-GAT, a novel framework for Path-aware Knowledge-injected Graph Attention Networks. …”
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Application of Machine Learning for Radiowave Propagation Modeling Below 6 GHz by Mohammud Z. Bocus, Afzal Lodhi

“…This paper presents the application of supervised learning and use of fully connected neural network (FCNN) for the development of a path specific propagation model for frequencies below 6 GHz. …”
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Record Provisions of Freight Trains’ Fractional Numbers in Terms of Hardware-Software Complex Elborus Based Automated Train Timing by V. Yu. Kiryakin, A. V. Novgorodtseva

“…To make possible use of the same train paths by various type trains several numbers are assigned to each train one of which is basic and others - fractional. …”
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Lightweight design of materials for rubber-tired trains by Liu Longxi, Wang Jinle, Tian Honglei, Li Xiaoyan, Yu Haiyan

“…This study proposes a performance-driven material substitution lightweight technology for the head car (MC1) of an electronically guided rubber-tired train, in response to the development of urban rail transit and energy-saving and environmental protection policies. …”
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An Improved HM-SAC-CA Algorithm for Mobile Robot Path Planning in Unknown Complex Environments by Ting Jiao, Conglin Hu, Lingxin Kong, Xihao Zhao, Zhongbao Wang

“…Path planning and its optimization is a critical and difficult task for a mobile robot in a complex and unknown environment. …”
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Efficient network attack path optimization method based on prior knowledge-based PPO algorithm by Qiuxiang Li, Jianping Wu

“…To address the issues of excessive invalid actions and poor training effect of current deep reinforcement learning-based attack path optimization methods, we propose a Prior Knowledge-based Proximal Policy Optimization (PKPPO) algorithm. …”
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Pharmacy Education and Clinical Pharmacy Training in France by Florence Ranchon, Sébastien Chanoine, ANEPC Pedagogical Committee, Antoine Dupuis, Gaël Grimandi, Michel Sève, Stéphane Honoré, Benoît Allenet, Pierrick Bedouch

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A Study on Path Planning for Curved Surface UV Printing Robots Based on Reinforcement Learning by Jie Liu, Xianxin Lin, Chengqiang Huang, Zelong Cai, Zhenyong Liu, Minsheng Chen, Zhicong Li

“…Next, a framework combining Generative Adversarial Imitation Learning (GAIL) and Soft Actor–Critic (SAC) methods is proposed to solve the MDP problem and accelerate the convergence of SAC training. Experimental results show that the proposed method outperforms traditional path planning methods, as well as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). …”
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Neural Network-Based Path Planning for Fixed-Wing UAVs with Constraints on Terminal Roll Angle by Qian Xu, Fanchen Wu, Zheng Chen

“…This paper presents a neural network-based path planning method for fixed-wing UAVs under terminal roll-angle constraints. …”
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Subjective Outcome Evaluation of the Project P.A.T.H.S.: Findings Based on the Perspective of the Program Participants by Daniel T. L. Shek, Hing Keung Ma

“…A total of 52 schools (n = 8679 students) participated in the experimental implementation phase of the project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes). …”
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“Music Therapy Moments”. Personal Experiences on the Path to a Music Therapy Profession. Scientific opportunities by Magdolna SZABADI

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The application obstacles of BIM technology in green building project and its key role path analysis by Ge Meng, Hao Hu, Long Chen

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Prevention of Adolescent Problem Behavior: Longitudinal Impact of the Project P.A.T.H.S. in Hong Kong by Daniel T. L. Shek, Lu Yu

“…The present study attempts to examine the longitudinal impact of a curriculum-based positive youth development program, entitled the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes), on adolescent problem behavior in Hong Kong. …”
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Action-Curiosity-Based Deep Reinforcement Learning Algorithm for Path Planning in a Nondeterministic Environment by Junxiao Xue, Jinpu Chen, Shiwen Zhang

“…In the field of path planning, the efficiency and effectiveness of deep reinforcement learning (DRL) methods are often constrained by the algorithms’ exploration capabilities, particularly in dynamic and nondeterministic environments. …”
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Research on Dynamic Path Planning of Wheeled Robot Based on Deep Reinforcement Learning on the Slope Ground by Peng Wang, Xiaoqiang Li, Chunxiao Song, Shipeng Zhai

“…To solve the problem of slow convergence rate in the training phase of DDQN, the dynamic path planning algorithm based on Tree-Double Deep Q Network (TDDQN) is proposed. …”
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Integrating the Spirit of Educators into the Cultivation of Normal University Students: Value, Realistic Dilemma and Path Choice by GAO Song, SHEN Shilong

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Intelligent Robot in Unknown Environments: Walk Path Using Q-Learning and Deep Q-Learning by Mouna El Wafi, My Abdelkader Youssefi, Rachid Dakir, Mohamed Bakir

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