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.

Podrobná bibliografie
Hlavní autoři: Mahmud, Aqil, Khan, Aswat Karim, Hasan Rafi, Mohammad Mehdi, Fahim, Kazi Rayhan
Další autoři: Rasel, Annajiat Alim
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2023
Témata:
Reinforcement learning
Neural networks
Games
AI
Proximal policy optimization
Reinforcement learning.
On-line přístup:http://hdl.handle.net/10361/19954

Internet

http://hdl.handle.net/10361/19954

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