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.

Bibliografische gegevens
Hoofdauteurs: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Andere auteurs: Alam, Md. Golam Rabiul
Formaat: Thesis
Taal:en_US
Gepubliceerd in: Brac University 2020
Onderwerpen:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Online toegang:http://hdl.handle.net/10361/14048

Internet

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

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