Financial portfolio optimization: an autoregressive deep reinforcement learning algorithm with learned intrinsic rewards
Deep Reinforcement Learning (DRL) has had notable success in sequential learning tasks in applied settings involving high-dimensional state-action spaces, sparking the interest of the finance research community. DRL strategies have been applied to the classical portfolio optimization problem − a...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2024
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在線閱讀: | https://hdl.handle.net/10356/175650 |
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