Open Access
| Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 13 | |
| Section | Reinforcement Learning and Optimization Techniques | |
| DOI | https://doi.org/10.1051/itmconf/20257301011 | |
| Published online | 17 February 2025 | |
- Kabir M A, Liping Y, Sarker S K, et al. Portfolio optimization and valuation capability of multi-factor models: an observational evidence from Dhaka stock exchange[J]. Frontiers in Applied Mathematics and Statistics, 2023, 9: 1271485.(P7-8) [CrossRef] [Google Scholar]
- Aboussalah A M, Lee C G. Continuous control with stacked deep dynamic recurrent reinforcement learning for portfolio optimization[J]. Expert Systems with Applications, 2020, 140: 112891.(P11) [CrossRef] [Google Scholar]
- Guo Z, Kang G. Financial Investment Optimization by Integrating Multifactors and GA Improved UCB Algorithm[J]. Informatica, 2024, 48(13).(P116-125) [Google Scholar]
- Ni H, Xu H, Ma D, et al. Contextual combinatorial bandit on portfolio management[J]. Expert Systems with Applications, 2023, 221: 119677.(P8-10) [CrossRef] [Google Scholar]
- Zhu M, Zheng X, Wang Y, et al. Adaptive portfolio by solving multi-armed bandit via thompson sampling[J]. arXiv preprint arXiv:1911.05309, 2019.(P3-4) [Google Scholar]
- Charpentier A, Elie R, Remlinger C. Reinforcement learning in economics and finance[J]. Computational Economics, 2021: 1-38.(P430-431) [Google Scholar]
- Liu X Y, Yang H, Chen Q, et al. FinRL: A deep reinforcement learning library for automated stock trading in quantitative finance[J]. arXiv preprint arXiv:2011.09607, 2020.(P3-4) [Google Scholar]
- Rollinger T N, Hoffman S T. Sortino: a ‘sharper’ratio[J]. Chicago, Illinois: Red Rock Capital, 2013.(P3-8) [Google Scholar]
- Song Zongxiang. Application of Fuzzy C-Means Clustering in Stock Investment [D]. Northeast Petroleum University [2014-10-21] DOI:CNKI:CDMD:2.1017.096721.(P13-17) [Google Scholar]
- Manome N, Shinohara S, Chung U. Simple modification of the Upper Confidence Bound algorithm by generalized weighted wverages. arXiv preprint arXiv:2308.14350, 2023.(P2) [Google Scholar]
- Almulla H, Gay G. Learning how to search: generating effective test cases through adaptive fitness function selection[J]. Empirical Software Engineering, 2022, 27(2): 38.(P2) [CrossRef] [Google Scholar]
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