ISBN: 9786207455515 - applications of machine learning in uavs (8 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Applications of Machine Learning in UAVs | Payal Bansal | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207455515 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes the effect of various factors such as learning rate, discount factor and epsilon on the training ability of the drone to navigate from source to destination. The higher value of learning rate encourages the fast learning of the drone but here is risk of oscillation rather than converging and for the lower value of learning rate the drone learns slowly but converges steadily. This book work is mainly focused on implementation of the RL algorithms for the smaller areas. For larger complex areas these algorithms are less efficient so Deep Reinforcement learning can be used in future to make UAV more efficient for real-world implementation.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dr. PAYAL BANSALDr Payal Bansal has received Diploma, B.E. M.Tech and Ph.D degree in the area of Electronics & Communication Engineering. She has vast teaching experience of more than 15 Years in reputed organizations. In her profess.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes the effect of various factors such as learning rate, discount factor and epsilon on the training ability of the drone to navigate from source to destination. The higher value of learning rate encourages the fast learning of the drone but here is risk of oscillation rather than converging and for the lower value of learning rate the drone learns slowly but converges steadily. This book work is mainly focused on implementation of the RL algorithms for the smaller areas. For larger complex areas these algorithms are less efficient so Deep Reinforcement learning can be used in future to make UAV more efficient for real-world implementation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.…