RePEcTrading, Microstructure & Execution
Trading with Deep Reinforcement Learning
Deep reinforcement learning applied to trading on financial markets is discussed, including common structures, issues, and limitations of such approaches, as well as state representations critical for success and efficiency.
Featured in No. 4 on 14 Jun 2023 ·
- Released
- 13 Jul 2021
- First featured
- No. 4 · 14 Jun 2023
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 23
- Identifier
- RePEc:gam:jdataj:v:6:y:2021:i:11:p:119-:d:680602
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).