Traﬃc congestion reduction in SUMO using reinforcement learning method

Traﬃc congestion reduction in SUMO using reinforcement learning method

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Xehetasun bibliografikoak
Egile Nagusiak:	Mouly, Radia Rahman, Rini, Puja Roy, Ethic, Ahsan Habib, Ayon, Mahdi Islam
Beste egile batzuk:	Md. Khalilur Rahman
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Traﬃc congestion Reinforcement learning Q-learning Greedy approach SARSA Bias-Q-learning MDP SUMO Reinforcement learning.
Sarrera elektronikoa:	http://hdl.handle.net/10361/15728

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