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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Bibliographic Details
Main Author: Lim, Magdalene Hui Qi
Other Authors: Patrick Pun Chi Seng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175650
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Institution: Nanyang Technological University
Language: English