Eliciting ESG Preferences for Reinforcement Learning-Based Portfolio Optimization
This work offers a highly adaptable framework that successfully aligns multi-objective algorithmic trading with diverse, real-world human sustainability preferences and integrates a Preference Elicitation framework using Gaussian Processes.
Giovanni Dispoto, Marcello Restelli, Carmine Ventre
· 0 citations