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.

Opis bibliograficzny
Główni autorzy: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Kolejni autorzy: Alam, Md. Golam Rabiul
Format: Praca dyplomowa
Język:en_US
Wydane: Brac University 2020
Hasła przedmiotowe:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Dostęp online:http://hdl.handle.net/10361/14048

Internet

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

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