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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| 格式: | Final Year Project / Dissertation / Thesis |
| 出版: |
2024
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| 主題: | |
| 在線閱讀: | http://eprints.utar.edu.my/6814/1/2200481_LIM_FANG_NIE.pdf http://eprints.utar.edu.my/6814/ |
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