Reinforcement learning for algorithmic trading: DDQN
Chiaverini, Andrea (A.A. 2021/2022) Reinforcement learning for algorithmic trading: DDQN. Tesi di Laurea in Econometria per la finanza, Luiss Guido Carli, relatore Federico Carlo Eugenio Carlini, pp. 132. [Master's Degree Thesis]
|
PDF (Full text)
Download (3MB) | Preview |
Abstract/Index
Framework teorico. Definizione del problema & architettura del modello. Risultati. Conclusioni & sviluppi futuri.
References
Bibliografia e sitografia: pp. 129-130.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Economics and Finance (64/S) |
| Outstanding Thesis: | Department of Economics and Finance |
| Chair: | Econometria per la finanza |
| Thesis Supervisor: | Carlini, Federico Carlo Eugenio |
| Thesis Co-Supervisor: | Borri, Nicola |
| Academic Year: | 2021/2022 |
| Session: | Extraordinary |
| Deposited by: | Maria Teresa Nisticò |
| Date Deposited: | 16 May 2023 10:46 |
| Last Modified: | 03 Aug 2023 10:07 |
| URI: | https://tesi.luiss.it/id/eprint/35862 |
Downloads
Downloads per month over past year
Repository Staff Only
![]() |
View Item |



