Bayaraa Enkhsaikhan

Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract)

We applied Risk-averse Reinforcement Learning (RL) to optimize investment portfolios while incorporating risk constraints. Given that portfolios must adhere to risk constraints set by investors and regulators, enforcing hard constraints is essential for practical portfolio optimization. Traditional…