Reinforcement Learning for Deep Portfolio Optimization
Yan, R. et al. · 2024
What this means for traders
Baking risk constraints directly into the AI reward function produces portfolios that maximize returns while respecting hard drawdown limits.
Abstract
Integrates Modern Portfolio Theory constraints directly into the RL reward function (Deep Portfolio Optimization). Maximizes portfolio value while strictly adhering to risk constraints.
