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.

Détails bibliographiques
Auteurs principaux: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Autres auteurs: Alam, Md. Golam Rabiul
Format: Thèse
Langue:en_US
Publié: Brac University 2020
Sujets:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Accès en ligne:http://hdl.handle.net/10361/14048

Internet

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

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