High-frequency trading (HFT) is using computer algorithms to make trading decisions in
short time scales (eg, second-level), which is widely used in the Cryptocurrency (Crypto) …

For industrial control, developing high-performance controllers with few samples and low
technical debt is appealing. Foundation models, possessing rich prior knowledge obtained …

Multi-agent reinforcement learning (MARL) models multiple agents that interact and learn
within a shared environment. This paradigm is applicable to various industrial scenarios …

High-frequency trading (HFT) that executes algorithmic trading in short time scales, has
recently occupied the majority of cryptocurrency market. Besides traditional quantitative …

强化学习通过智能体与环境在线交互来学习最优策略, 近年来已成为解决复杂环境下感知决策
问题的重要手段. 然而, 在线收集数据的方式可能会引发安全, 时间或成本等问题 …

We develop a methodology that employs mixture of experts to scale up the parameters of
reinforcement learning (RL) models in optimal execution tasks. The innovation of our …

Hedging a portfolio containing autocallable notes presents unique challenges due to the
complex risk profile of these financial instruments. In addition to hedging, pricing these …

The recent rapid advancement of deep learning, especially the development of the large
language models (LLMs) has revolutionized the community of software engineering. Thanks …