Showing 61 - 80 results of 1,186 for search 'Path training', query time: 0.09s Refine Results
  1. 61

    Prioritized Experience Replay–Based Path Planning Algorithm for Multiple UAVs by Chongde Ren, Jinchao Chen, Chenglie Du

    Published 2024-01-01
    “…Although UAVs working together on complicated jobs can significantly increase productivity and reduce costs, they can cause major issues with path planning. In complex environments, the path planning problem, which is a multiconstraint combinatorial optimization problem and hard to settle, requires considering numerous constraints and limitations and generates the best paths for each UAV to accomplish group tasks. …”
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    Coverage Path Planning Using Actor–Critic Deep Reinforcement Learning by Sergio Isahí Garrido-Castañeda, Juan Irving Vasquez, Mayra Antonio-Cruz

    Published 2025-03-01
    “…This study proposes an approach to address the coverage path planning problem, where the mobile robot is tasked with exploring and completely covering a terrain using a deep reinforcement learning framework. …”
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    Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning by Shengwei Jin, Xizheng Zhang, Ying Hu, Ruoyuan Liu, Qing Wang, Haihua He, Junyu Liao, Lijing Zeng

    Published 2025-05-01
    “…The architecture first enables mapless navigation through a DDQN foundation, subsequently integrates long short-term memory (LSTM) networks for the fusion of environmental features and preservation of training information, and ultimately enhances the path’s quality through redundant node elimination via an obstacle–path relationship analysis, combined with Bézier curve-based trajectory smoothing. …”
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  7. 67

    Q-learning global path planning for UAV navigation with pondered priorities by Kevin B. de Carvalho, Hiago de O.B. Batista, Leonardo A. Fagundes-Junior, Iure Rosa L. de Oliveira, Alexandre S. Brandão

    Published 2025-03-01
    “…The process of path planning plays a crucial role in enabling self-directed movement, particularly for unmanned aerial vehicles. …”
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    N-Dimensional Reduction Algorithm for Learning from Demonstration Path Planning by Juliana Manrique-Cordoba, Miguel Ángel de la Casa-Lillo, José María Sabater-Navarro

    Published 2025-03-01
    “…This paper presents an <i>n</i>-dimensional reduction algorithm for Learning from Demonstration (LfD) for robotic path planning, addressing the complexity of high-dimensional data. …”
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  11. 71

    Adaptive path planning for efficient object search by UAVs in agricultural fields by Rick van Essen, Eldert van Henten, Lammert Kooistra, Gert Kootstra

    Published 2025-12-01
    “…We trained a YOLOv8 detection network to detect artificial plants placed in grass fields to showcase the potential of our path planner. …”
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  12. 72

    Interactive internal training for teachers by Larisa Kosolapova, Margarita Mosina, Larisa Tikhomirova, Natalia Pigareva, Svetlana Kosikova, Guzal Lyskova

    Published 2021-12-01
    “…New challenges are: the need to develop children’s self-reliance in learning during the transition from primary to secondary school, to help children build an individual study path, to organize education in inclusive settings. …”
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    LSTM-DQN-APF Path Planning Algorithm Empowered by Twins in Complex Scenarios by Ying Lu, Xiaodan Wang, Yang Yang, Man Ding, Shaochun Qu, Yanfang Fu

    Published 2025-04-01
    “…Compared to traditional algorithms, it notably enhances path planning speed and obstacle avoidance success rates. …”
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    Evaluation of the Deep Q-Learning Models for Mobile Robot Path Planning Problem by Mehmet Gök

    Published 2024-08-01
    “…Search algorithms such as A* or Dijkstra are generally used to solve the path planning problem for mobile robots. However, these approaches require a map and their performance decreases in dynamic environments. …”
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  19. 79

    Interim Evaluation of the Project P.A.T.H.S.: Findings Based on Different Datasets by Daniel T. L. Shek, Lu Yu

    Published 2012-01-01
    “…Interim evaluation studies were carried out in order to examine the implementation details of the Tier 1 Program of the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in Hong Kong. …”
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    Subjective Outcome Evaluation of the Project P.A.T.H.S: Descriptive Profiles and Correlates by Daniel T.L. Shek, Lu Yu

    Published 2010-01-01
    “…A total of 196 schools participated in the Tier 1 Program (Secondary 2 curriculum) of the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in Hong Kong. …”
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