Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games

Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Dades bibliogràfiques
Autors principals:	Mahmud, Aqil, Khan, Aswat Karim, Hasan Rafi, Mohammad Mehdi, Fahim, Kazi Rayhan
Altres autors:	Rasel, Annajiat Alim
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	Reinforcement learning Neural networks Games AI Proximal policy optimization Reinforcement learning.
Accés en línia:	http://hdl.handle.net/10361/19954

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