Thesis aims at developing a Fiancial Trading System to tackle the Porfolio Management Problem. The developed models use Reinforcement Learning techniques to analyse the current environement and to give daily advice to the agent on how to manage each financial position.
Reinforcement Learning Applications for the Portfolio Management
Urbani, Federico
2022/2023
Abstract
Thesis aims at developing a Fiancial Trading System to tackle the Porfolio Management Problem. The developed models use Reinforcement Learning techniques to analyse the current environement and to give daily advice to the agent on how to manage each financial position.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14247/8920