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
Autores principales: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Otros Autores: Alam, Md. Golam Rabiul
Formato: Tesis
Lenguaje:en_US
Publicado: Brac University 2020
Materias:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Acceso en línea:http://hdl.handle.net/10361/14048

Internet

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

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