Flying High: Deep Imitation Learning of Optimal Control for Unmanned Aerial Vehicles
Optimal control for multicopters is difficult in part due to the low processing power available, and the instability inherent to multicopters. Deep imitation learning is a method for approximating an expert control policy with a neural network, and has the potential of improving control for multicop...
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| Format: | Others |
| Language: | English |
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KTH, Robotik, perception och lärande, RPL
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233326 |