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.

Bibliografiska uppgifter
Huvudupphovsmän: Mahmud, Aqil, Khan, Aswat Karim, Hasan Rafi, Mohammad Mehdi, Fahim, Kazi Rayhan
Övriga upphovsmän: Rasel, Annajiat Alim
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2023
Ämnen:
Reinforcement learning
Neural networks
Games
AI
Proximal policy optimization
Reinforcement learning.
Länkar:http://hdl.handle.net/10361/19954

Internet

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

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