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.

Xehetasun bibliografikoak
Egile Nagusiak: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Beste egile batzuk: Alam, Md. Golam Rabiul
Formatua: Thesis
Hizkuntza:en_US
Argitaratua: Brac University 2020
Gaiak:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Sarrera elektronikoa:http://hdl.handle.net/10361/14048

Internet

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

Antzeko izenburuak