2 papers
q-fin.CP2026
Time-Inhomogeneous Volatility Aversion for Financial Applications of Reinforcement Learning
Federico Cacciamani, Roberto Daluiso, Marco Pinciroli +2
In finance, sequential decision problems are often faced, for which reinforcement learning (RL) emerges as a promising tool for optimisation without the need of analytical tractabi…
q-fin.TR2024
Exploiting Risk-Aversion and Size-dependent fees in FX Trading with Fitted Natural Actor-Critic
Vito Alessandro Monaco, Antonio Riva, Luca Sabbioni +5
In recent years, the popularity of artificial intelligence has surged due to its widespread application in various fields. The financial sector has harnessed its advantages for mul…