English(EN) GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning

LLM驱动的框架提升金融强化学习能力

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-07 04:45

研究人员开发了GIFT，一个利用大型语言模型（LLMs）来增强金融投资组合交易强化学习的新框架。该方法使用LLMs来指导状态和奖励接口的设计，注入金融知识以提高智能体在非平稳市场中的表现。实验表明，与现有方法相比，GIFT能带来更好的学习信号和更优的风险调整后投资组合回报。 AI

影响通过提高强化学习智能体学习信号的质量来增强金融交易策略。

排序理由该集群包含一篇详细介绍金融强化学习新方法的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.AI TIER_1 English(EN) · Yanyan Wu, Boyi Zhang, Yanlin Liu, Xinyu Fang, Jining Luan, Meiqi Zhang, Jiacheng Liu, Hao Zeng, Dexu Yu, Chang Liu, Hanwen Du, Yongxin Ni, Youhua Li · 2026-06-09 04:00

GIFT：用于金融强化学习的LLM引导状态-奖励接口

arXiv:2606.08450v1 Announce Type: new Abstract: Financial portfolio trading is naturally formulated as a reinforcement learning problem, where an agent sequentially rebalances assets under changing market conditions to balance return, risk, and transaction costs. Yet in non-stati…
arXiv cs.AI TIER_1 English(EN) · Youhua Li · 2026-06-07 04:45

GIFT：用于金融强化学习的LLM引导状态-奖励接口

Financial portfolio trading is naturally formulated as a reinforcement learning problem, where an agent sequentially rebalances assets under changing market conditions to balance return, risk, and transaction costs. Yet in non-stationary markets, raw OHLCV states and short-horizo…