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.

Detalles Bibliográficos
Main Authors: Mahmud, Aqil, Khan, Aswat Karim, Hasan Rafi, Mohammad Mehdi, Fahim, Kazi Rayhan
Outros autores: Rasel, Annajiat Alim
Formato: Thesis
Idioma:English
Publicado: Brac University 2023
Subjects:
Reinforcement learning
Neural networks
Games
AI
Proximal policy optimization
Reinforcement learning.
Acceso en liña:http://hdl.handle.net/10361/19954

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