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fdragon-hoop's Projects

dqn-uav icon dqn-uav

该项目将深度Q-Learning实施为自动化领域研究最多的任务之一，即避障。环境和无人机本身在Unity3D中模拟，而DQL算法是用Python编写的。无人机的动作被限制为只能左转、右转和直行。这意味着它的运动仅限于2D水平面，与汽车非常相似。然而，无人机在旋转时也会滚动，就像普通飞机需要滚动才能转弯一样。因此，环境仍然是 3D 的。 代理的目标是在障碍物森林中飞行一段时间。为了防止代理绕圈，引入了目标点供代理飞到。这个目标点不是让代理到达的，而只是为了引导无人机到一个特定的方向。 代理每接近目标点，就会获得+1的奖励。但是，如果它在任何时间步长中飞离目标点更远，它将获得-1的奖励。如果代理坠毁，无论其飞行方向如何，它都将获得 -1 奖励。如此简单的奖励的原因是

ml-drone-collection icon ml-drone-collection

无人机收藏视频 三轴飞行器，四轴飞行器，六轴飞行器和八轴飞行器无人机在Unity中构建。包括一个最小的控制器，用于稳定四轴飞行器，由 Unity 机器学习代理制成。

prometheus icon prometheus

阿木实验室，自主无人机开源软件。

tsp-ga-py icon tsp-ga-py

GA遗传算法&动态可视化的，解决旅行商问题，python

tsp_collection icon tsp_collection

TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)

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