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.

Bibliographische Detailangaben
Hauptverfasser: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Weitere Verfasser: Alam, Md. Golam Rabiul
Format: Abschlussarbeit
Sprache:en_US
Veröffentlicht: Brac University 2020
Schlagworte:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Online Zugang:http://hdl.handle.net/10361/14048

Online

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

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