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1 Ergebnisse
1
Reinforcement Q-Learning applied to underwater search plann..:
, In:
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043)
,
Lindsay, Joel
;
Seto, Mae L.
;
Bauer, Robert
- p. 1-6 , 2020
Link:
https://doi.org/10.1109/AUV50043.2020.9267901
RT T1
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043)
: T1
Reinforcement Q-Learning applied to underwater search planning towards maximizing information gain in environments with variable target detection probabilities
UL https://suche.suub.uni-bremen.de/peid=ieee-9267901&Exemplar=1&LAN=DE A1 Lindsay, Joel A1 Seto, Mae L. A1 Bauer, Robert YR 2020 SN 2377-6536 K1 Signal to noise ratio K1 Planning K1 Sonar K1 Sensitivity K1 Visualization K1 Trajectory planning K1 Standards K1 autonomous underwater vehicle K1 path-planning K1 autonomy K1 reinforcement learning K1 Q-Learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/AUV50043.2020.9267901 DO https://doi.org/10.1109/AUV50043.2020.9267901 SF ELIB - SuUB Bremen
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