(HierarchicalPathPlanning,HPP)算法,最终规划出一条可跟踪的安全路径。全文 六个章节的大致内容如下: 第一章介绍了本文的研究背景和意义,阐述了三维环境建模技术和三维路径 规划方法的研究现状,最后交代了全文组织结构。 第二章介绍了DRL的基础理论,阐明了RL算法的分类,并详细介绍了PPO 算法原理。 第三章介绍了本文...
Key words: robot, local path planning, Long Short-Term Memory(LSTM) neural network, Proximal Policy Optimization(PPO) algorithm, virtual target point 中图分类号: TP273 引用本文 刘国名, 李彩虹, 李永迪, 张国胜, 张耀玉, 高腾腾. 基于改进PPO算法的机器人局部路径规划[J]. 计算机工程, 2023,...
First, the global path planning of grid electronic chart is carried out using two different reward modes of PPO(Proximal Policy Optimization Algorithms) algorithm, and the global optimal path is selected after comparison. Secondly, The inflection point on the global optimal path is selected as the...
Mirage search optimization: Application to path planning and engineering design problems,Advances in En...
Path planning in large, complex environments poses significant challenges, as a single robot must efficiently navigate to its target while avoiding obstacles. Traditional algorithms often struggle to balance computational efficiency and planning accuracy. Reinforcement learning methods, while promising, frequent...
A Deterministic Improved Q-learning for Path Planning of a Mobile Robot[J]. IEEE Transactions http: // www.china-simulation.com • 1431 • 第 36 卷第 6 期 2024 年 6 月 系统仿真学报 Journal of System Simulation Vol. 36 No. 6 Jun. 2024 on Systems, Man, and Cybernetics: Systems, ...
(Gao et al.2022) utilized a Double DQN algorithm, combined with a path heuristic table and a depth-first penetration action selection strategy, to prune the action space of penetration testing tasks, addressing the issue of large-scale, complex attack path planning. Zhang et al. (Zhang et ...
Developing Trajectory Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging - Planning-with-Learning/ppo_continuous.py at main · derekhanbaliq/Planning-with-Learning
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Research on Multi-robot Local Path Planning Based on Improved Artificial Potential Field Method. In Advances in Intelligent Systems and Computing; Krömer, P., Zhang, H., Liang, Y., Pan, J.-S., Eds.; Springer International Publishing: Cham, Switzerland, 2019; pp. 684–690. [CrossRef] ...