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Deep reinforcement learning for optimal trading with partial information

arXiv — stat.ML•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

Deep reinforcement learning for optimal trading with partial information

A recent study explores the innovative application of deep reinforcement learning (RL) to develop optimal trading strategies that leverage hidden market information. This research is significant as it addresses a gap in the financial sector, where traditional methods often overlook the potential of RL in trading. By utilizing an Ornstein-Uhlenbeck process with regime-switching dynamics, the study aims to enhance trading efficiency and decision-making, potentially leading to better financial outcomes for traders.
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