3 citations · 7 across the 23 of their papers we have counts for
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q-fin.CP2026
Deep Reinforcement Learning for Optimum Order Execution: Mitigating Risk and Maximizing Returns
Khabbab Zakaria, Jayapaulraj Jerinsh, Andreas Maier +3
Optimal Order Execution is a well-established problem in finance that pertains to the flawless execution of a trade (buy or sell) for a given volume within a specified time frame.…
q-fin.CP2025
A Unified AI System For Data Quality Control and DataOps Management in Regulated Environments
Devender Saini, Bhavika Jain, Nitish Ujjwal +3
In regulated domains such as finance, the integrity and governance of data pipelines are critical - yet existing systems treat data quality control (QC) as an isolated preprocessin…