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.

Dettagli Bibliografici
Autori principali:	Mouly, Radia Rahman, Rini, Puja Roy, Ethic, Ahsan Habib, Ayon, Mahdi Islam
Altri autori:	Md. Khalilur Rahman
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	Traﬃc congestion Reinforcement learning Q-learning Greedy approach SARSA Bias-Q-learning MDP SUMO Reinforcement learning.
Accesso online:	http://hdl.handle.net/10361/15728

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