Zhendong Shi

Optimizing Trading Strategies in Quantitative Markets Using Multi-Agent Reinforcement Learning

Quantitative markets are characterized by swift dynamics and abundant uncertainties, making the pursuit of profit-driven stock trading actions inherently challenging. Within this context, Reinforcement Learning (RL) — which operates on a reward-centric mechanism for optimal control — has surfaced as…