Reinforcement Learning-based Collision Avoidance and Optimal Trajectory Planning in UAV Communication Networks
碩士 === 國立交通大學 === 電信工程研究所 === 107 === In this thesis, we propose a reinforcement learning approach of collision avoidance and investigate optimal trajectory planning for unmanned aerial vehicle (UAV) communication networks. Specifically, each UAV takes charge of delivering objects in the forward pat...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/kzp8m9 |