Multi-period portfolio optimization using a deep reinforcement learning hyper-heuristic approach
Year of publication: |
2024
|
---|---|
Authors: | Cui, Tianxiang ; Du, Nanjiang ; Yang, Xiaoying ; Ding, Shusheng |
Published in: |
Technological forecasting and social change : an international journal. - Amsterdam [u.a.] : Elsevier Science, ISSN 0040-1625, ZDB-ID 2015184-6. - Vol. 198.2024, Art.-No. 122944, p. 1-11
|
Subject: | Decision making | Portfolio optimization | Uncertainty | Deep reinforcement learning | Hyper-heuristic | Portfolio-Management | Portfolio selection | Theorie | Theory | Lernen | Learning | Lernprozess | Learning process |
-
Can deep reinforcement learning beat 1/N
Kruthof, Garvin, (2025)
-
Dealing with drift uncertainty : a Bayesian learning approach
De Franco, Carmine, (2019)
-
Optimization-based spectral end-to-end deep reinforcement learning for equity portfolio management
Yu, Pengrui, (2025)
- More ...
-
Incorporating the RMB internationalization effect into its exchange rate volatility forecasting
Ding, Shusheng, (2020)
-
Ding, Shusheng, (2025)
-
Ding, Shusheng, (2022)
- More ...