TY - Data T1 - A1 - wang he PY - 2026 DA - 2026-07-09 PB - National Cryosphere Desert Data Center AB - Dataset of Distributed Neural Policy Gradient Algorithm for Robot Path Planning: This dataset was established in November 2024 and generated using a Python simulation platform, primarily targeting performance analysis and verification of distributed neural policy gradient algorithms in robot path planning tasks. The dataset contains numerical simulation results of centralized and distributed algorithms across two types of path planning scenarios, used to verify the convergence performance, cooperative decision-making capability, and computational efficiency of the proposed algorithm in complex path planning environments. The dataset is constructed based on a multi-robot path planning environment, generating dynamic evolution data of different algorithms during the training process through numerical simulation of robot state transitions, action selections, and environmental interactions. The objective function performance metric is composed of the reward for reaching the target point, the collision penalty incurred between robots or between robots and obstacles, and the time penalty during the path planning process, used to evaluate the comprehensive performance of the algorithm in terms of task completion quality and safety. Meanwhile, the dataset records the norm variation of the objective function gradient with respect to policy parameters, used to analyze the optimization stability and convergence characteristics of the neural policy gradient algorithm. In addition, the runtime of different algorithms during training and decision-making processes is also recorded, used to compare the differences between centralized and distributed methods in terms of computational complexity and real-time performance. All dataset files are in NPY format, comprising 12 files in total, organized by algorithm type and scenario index, with the naming convention "CTP_PathStructure_AlgorithmTypeDataType.npy", where path structure is identified by numerical index representing different DB - NCDC UR - http://www.ncdc.ac.cn/portal/metadata/7ab332cb-7d40-4d9c-afa9-f5cfce8216dd ER -