This demo abstract presents the visualization of deep reinforcement learning (DRL)-based autonomous aerial mobility simulations. In order to implement the software, Unity-RL is used and additional buildings are introduced for urban environment. On top of the implementation, DRL algorithms are used and we confirm it works well in terms of trajectory and 3D visualization.

中文翻译：

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深度强化自主空中机动学习模拟的可视化

该演示摘要展示了基于深度强化学习（DRL）的自主空中机动性仿真的可视化。为了实施该软件，使用了Unity-RL，并为城市环境引入了其他建筑物。在实现的基础上，使用了DRL算法，我们确认它在轨迹和3D可视化方面效果良好。