2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Learn Once Plan Arbitrarily (LOPA): Attention-Enhanced Deep Reinforcement Learning Method for Global Path Planning
Guoming Huang, Mingxin Hou, Xiaofang Yuan +2
Deep reinforcement learning (DRL) methods have recently shown promise in path planning tasks. However, when dealing with global planning tasks, these methods face serious challenge…
cs.RO2023★ 2 cited
Deep Reinforcement Learning-based Multi-objective Path Planning on the Off-road Terrain Environment for Ground Vehicles
Shuqiao Huang, Xiru Wu, Guoming Huang
Due to the vastly different energy consumption between up-slope and down-slope, a path with the shortest length on a complex off-road terrain environment (2.5D map) is not always t…