Combination of generative artificial intelligence and deep reinforcement learning: performance comparison

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Combination of generative artificial intelligence and deep reinforcement learning: performance comparison

In this study, we explore the integration of Generative Adversarial Networks (GANs) and Deep Reinforcement Learning (DRL) methods, focusing on the performance comparison between different architectures of Sequence Generative Adversarial Networks (SeqGAN) and policy gradient algorithms. We address ke...

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Bibliographic Details
Main Author:	Lim, Fang Nie
Format:	Final Year Project / Dissertation / Thesis
Published:	2024
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General)
Online Access:	http://eprints.utar.edu.my/6814/ http://eprints.utar.edu.my/6814/1/2200481_LIM_FANG_NIE.pdf

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