MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading

By Xi Cheng, Jinghao Zhang, Yunan Zeng, Wenfang Xue

Published 2024-06-03

Everscope rating

1643.8

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: MOT (Mixture of Actors Reinforcement Learning). Problem types: Reinforcement Learning, Time Series Forecasting, Algorithmic Trading.

arXiv:2407.01577 · Paper rankings

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