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.

Detalhes bibliográficos
Principais autores: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Outros Autores: Alam, Md. Golam Rabiul
Formato: Tese
Idioma:en_US
Publicado em: Brac University 2020
Assuntos:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Acesso em linha:http://hdl.handle.net/10361/14048

Internet

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

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