Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards

Daniil Karzanov, Rubén Garzón, Mikhail Terekhov +3

This paper introduces a novel agent-based approach for enhancing existing portfolio strategies using Proximal Policy Optimization (PPO). Rather than focusing solely on traditional…