most citedMotion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles

19 citations · 19 across the 1 of their papers we have counts for

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1 paper

cs.RO2020★ 19 cited

Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles

Sanghyun Kim, Jongmin Park, Jae-Kwan Yun +1

In this study, we applied reinforcement learning based on the proximal policy optimization algorithm to perform motion planning for an unmanned aerial vehicle (UAV) in an open spac…