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.

Bibliografiska uppgifter
Huvudupphovsmän: Issa, Razin Bin, Rahman, Md. Saferi, Das, Modhumonty, Barua, Monika
Övriga upphovsmän: Alam, Md. Golam Rabiul
Materialtyp: Lärdomsprov
Språk:en_US
Publicerad: Brac University 2020
Ämnen:
Reinforcement Learning
Autonomous Vehicle
Faster R-CNN
Double Deep Q Learning
Länkar:http://hdl.handle.net/10361/14048

Internet

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

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