Multirobot Coverage Path Planning Based on Deep Q-Network in Unknown Environment by Wenhao Li, Tao Zhao, Songyi Dian

“…Aiming at the problems of security, high repetition rate, and many restrictions of multirobot coverage path planning (MCPP) in an unknown environment, Deep Q-Network (DQN) is selected as a part of the method in this paper after considering its powerful approximation ability to the optimal action value function. …”
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Three-Dimensional Path-Following Control of a Robotic Airship with Reinforcement Learning by Chunyu Nie, Zewei Zheng, Ming Zhu

“…This paper proposed an adaptive three-dimensional (3D) path-following control design for a robotic airship based on reinforcement learning. …”
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Path Planning Method of Mobile Robot Using Improved Deep Reinforcement Learning by Wei Wang, Zhenkui Wu, Huafu Luo, Bin Zhang

“…A mobile robot path planning method based on improved deep reinforcement learning is proposed. …”
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UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment by Jianing Luo, Jiwei Zhu, Ruopeng Cui, Gaoxiong Lu, Wei Li

“…The network employs attention‐based path optimization to generate the predictive path. …”
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The gender gap in STEM: (Female) teenagers' ICT skills and subsequent career paths. by Friederike Hertweck, Judith Lehner

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Plight and Breakthrough: Analysis of Existing Problems and Development Path of Chinese Cultural Industry by Liu Xinyang

“…Regardless of the cultural tourism industry, education and training industry, or the movie industry, it all presents a flourishing and thriving sense. …”
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Dıgıtal transformatıon ın healthcare: global best practıces and Kazakhstan’s path forward by Ainur B. Qumar, Kamila Faizullina, Laura Seiduanova, Ayaulym Yelibay, Nurila Zhamankulova, Nurzhan Mukashev

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Unmanned Surface Vessel Cluster Path Planning Based on Deep Reinforcement Learning by Manjiang YU, Jiawei HE, Bowen XING

“…Firstly, a long and short-term memory module was introduced based on the multi-agent deep deterministic policy gradient algorithm to enhance the ability of the USVs to utilize the temporal information in path planning; secondly, a multi-level representational experience pool was designed to improve the training efficiency and data utilization and reduce the interference between different experiences; finally, stochastic network distillation was used as a curiosity mechanism to provide intrinsic rewards for the USVs to explore new regions and solve the convergence due to the sparse rewards. …”
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RL-Based Vibration-Aware Path Planning for Mobile Robots’ Health and Safety by Sathian Pookkuttath, Braulio Felix Gomez, Mohan Rajesh Elara

“…An RL model is applied that adapts to changing terrain for path planning. The RL agent uses an MDP-based policy and a deep RL training model with PPO, taking the vibration cost map as input. …”
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Academic and non-academic career paths of international and domestic PhD holders by Laura Diaz Villalba, Montserrat Castelló Badía

“…This process underscores the emerging demands of the current labour market and the necessity for universities to adjust doctoral training models to better equip graduates for diverse professional paths. …”
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Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…Additionally, the study constructs a system architecture covering data layers, algorithm layers, and application layers, enabling real-time dynamic adjustment and visual traceability of teaching paths. This research establishes a multimodal analysis paradigm for art behavior, promoting the digitalization and personalization of art education, with significant application value in areas such as art training institutions, special education, and the digital transformation of art education.…”
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Research on Path Tracking Technology for Tracked Unmanned Vehicles Based on DDPG-PP by Yongjuan Zhao, Chaozhe Guo, Jiangyong Mi, Lijin Wang, Haidi Wang, Hailong Zhang

“…Meanwhile, reinforcement learning training was carried out with randomly generated paths to improve the model’s generalization ability. …”
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Collision-Free Path Planning for Multiple Drones Based on Safe Reinforcement Learning by Hong Chen, Dan Huang, Chenggang Wang, Lu Ding, Lei Song, Hongtao Liu

“…Reinforcement learning (RL) has been shown to be effective in path planning. However, it usually requires exploring a sufficient number of state–action pairs, some of which may be unsafe when deployed in practical obstacle environments. …”
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An End-to-End Solution for Large-Scale Multi-UAV Mission Path Planning by Jiazhan Gao, Liruizhi Jia, Minchi Kuang, Heng Shi, Jihong Zhu

“…Additionally, we integrate a Multi-Start Greedy Rollout Baseline to evaluate diverse trajectories via parallelized greedy searches, thereby reducing policy gradient variance and improving training stability. Experiments demonstrated significant improvements in scalability, particularly in 100-node scenarios, where our method drastically reduced inference time compared to conventional methods, while maintaining a competitive path cost efficiency. …”
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Digital transformation of modern corporation management tools: the current state and development paths by V. A. Laptev, S. Yu. Chucha, D. R. Feyzrakhmanova

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Model-Based AUV Path Planning Using Curriculum Learning and Deep Reinforcement Learning on a Simplified Electronic Navigation Chart by Łukasz Marchel, Rafał Kot, Piotr Szymak, Paweł Piskur

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Data-driven identification and analysis of passenger riding paths in megacity metro system by Lianghui Xie, Zhenji Zhang, Robin Qiu, Daqing Gong

“…Using Automatic Fare Collection data and train schedules, a witness model is built to recover the actual riding paths for passengers whose paths are unknown otherwise. …”
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Simulation of Tennis Spinning Ball Flight Path Based on Fuzzy Reasoning Algorithm by Lei Chen, Yones Kafilaleh

“…Topspin is one of the most widely used hitting techniques in a tennis match and it is an effective tool to win over the opponent. Hence, flight path simulation of a spinning ball can be a tremendous analysis tool to help tennis players perfect their game. …”
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Pensar el cuerpo. De la expresión corporal a la conciencia expresivocorporal, un camino creativo narrativo en la formación inicial del profesorado (Think the body. From bodily expr... by Mª Esther Prados Megías

“…Both tools are plausible in a narrative-creative and self-expressive path. This is an important proposal for the subjective construction of expressive corporal awareness for future teachers. …”
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Is Virtual Reality Surgical Training the New Game Changer? Our Experience in Training Novice Orthopedic Residents in Taiwan by Jiun-Jen Yang, Shih-Sheng Chang, Chih-Hao Chiu, Yi-Sheng Chan, Hsuan-Kai Kao

“…Nonetheless, conventional training techniques in the operating room have sparked significant concerns about patient safety in recent times. …”
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