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drl-for-path-planning's Introduction

深度强化学习路径规划

DRL-for-Path-Planning

算法:

SAC-1812 # 不是1801

Soft Actor-Critic Algorithms and Applications (arXiv: 1812)

效果:

1.静态路径规划(几何)

直接找几个点组成路径,学习组成路径的点

2.动态路径规划(运动学)

雷达避障模型

运动学仿真,学习控制量

Requirement:

python >= 3.9

pytorch >= 1.10.2 (深度学习)

gym >= 0.21.0 (环境API)

numpy >= 1.22.3 (矩阵)

matplotlib >= 3.5.1 (绘图)

scipy >= 1.7.3 (积分)

shapely >= 2.0.1 (障碍)

广告:

Path-Planning: 路径规划算法,A*、Dijstra、Hybrid A*等经典路径规划

Grey-Wolf-Optimizer-for-Path-Planning: 灰狼优化算法路径规划、多智能体/多无人机航迹规划

drl-for-path-planning's People

Contributors

zhaohaojie1998 avatar

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