FlowOE: Imitation Learning with Flow Policy from Ensemble RL Experts for Optimal Execution under Heston Volatility and Concave Market Impacts

Documenti analoghi

• FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions
  di: Li, Yang, et al.
  Pubblicazione: (2025)
• Reinforcement Learning for Trade Execution with Market and Limit Orders
  di: Cheridito, Patrick, et al.
  Pubblicazione: (2025)
• Trade Execution Flow as the Underlying Source of Market Dynamics
  di: Belov, Mikhail Gennadievich, et al.
  Pubblicazione: (2025)
• FinFlowRL: An Imitation-Reinforcement Learning Framework for Adaptive Stochastic Control in Finance
  di: Li, Yang, et al.
  Pubblicazione: (2025)
• What Happens When Institutional Liquidity Enters Prediction Markets: Identification, Measurement, and a Synthetic Proof of Concept
  di: Dalen, Shaw
  Pubblicazione: (2026)