Network Drone Control using Deep Reinforcement Learning
In this work, a reinforcement learning approach is adopted to control a drone in a cellular network. The goal is to find paths between arbitrary locations such that low radio quality areas, defined with respect to signal-to-interference-plus-noise-ratio, are avoided with the cost of longer flight pa...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272111 |