Julian Zhong-Nan Zhang

An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies

The reliable deployment of reinforcement learning (RL) for real-world algorithmic trading is critically hindered by the ``simulation-to-reality gap.