five

Fighter Jet Simulation Data

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arXiv2025-09-30 收录
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https://github.com/swatikar95/Autonomous-Fighter-Jet-Navigation-and-Combat
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该数据集是从定制模拟环境中生成的,包含了战斗机代理在训练和评估阶段的 数据。其中包含了诸如回合长度、平均奖励、成功率以及轨迹分析等指标,用以验证DDQN算法的有效性。该数据集的规模为1000个测试回合,在超过100万训练步数的过程中记录性能指标。任务内容涉及多目标导航和战斗决策制定。

This dataset is generated from a custom simulation environment, and encompasses data collected from fighter agents during both training and evaluation stages. It incorporates various metrics including episode length, average reward, success rate, trajectory analysis and other relevant indicators, which are used to validate the effectiveness of the DDQN algorithm. The dataset comprises 1000 test episodes, with performance metrics recorded over more than 1 million training steps. The corresponding tasks cover multi-objective navigation and combat decision-making.
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