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.

Библиографические подробности
Главные авторы:	Mahmud, Aqil, Khan, Aswat Karim, Hasan Rafi, Mohammad Mehdi, Fahim, Kazi Rayhan
Другие авторы:	Rasel, Annajiat Alim
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	Reinforcement learning Neural networks Games AI Proximal policy optimization Reinforcement learning.
Online-ссылка:	http://hdl.handle.net/10361/19954

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