AAAI 2026technical0 citations
An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies
Julian Zhong-Nan Zhang, Yang Yu
Abstract
The reliable deployment of reinforcement learning (RL) for real-world algorithmic trading is critically hindered by the ``simulation-to-reality gap.
BibTeX
@inproceedings{aaai2026_aninteractivesim,
title = {An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies},
author = {Julian Zhong-Nan Zhang and Yang Yu},
booktitle = {AAAI 2026},
year = {2026}
}