Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track

Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Detalles Bibliográficos
Main Authors: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Outros autores: Alam, Md. Golam Rabiul
Formato: Thesis
Idioma:en_US
Publicado: Brac University 2020
Subjects:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Acceso en liña:http://hdl.handle.net/10361/14048

Internet

http://hdl.handle.net/10361/14048

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