Hengxi Zhang — accepted AI-conference papers

2024

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

Hengxi Zhang, Zhendong Shi, Yuanquan Hu, Wenbo Ding, Ercan E. Kuruoglu, Xiao-Ping Zhang

ICASSP 2024accepted

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…

Cited by 0 Source ↗Scholar ↗

2023

Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning

Huaze Tang, Hengxi Zhang, Zhenpeng Shi, Xinlei Chen, Wenbo Ding, Xiao-Ping Zhang

IROS 2023poster

The learning approaches of designing a controller to guide the collective behavior of swarm robots have gained significant attention in recent years. However, the scalability of swarm robots and their inherent stochasticity complicate the control problem due to increasing complexity, unpredictabilit…

Cited by 4 Source ↗Scholar ↗