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English(EN) Cooperative Multi-Agent Reinforcement Learning for Market Making on Prediction-Market Order Books

AI智能体为Polymarket的预测市场做市进行训练

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一个用于预测市场做市的多智能体强化学习系统，专门解决了Polymarket订单簿流动性不足的挑战。该系统重建了订单级别的数据，并使用具有循环神经网络策略的独立近端策略优化（Independent Proximal Policy Optimisation）来训练智能体。虽然重新设计的单智能体做市商在报价频率和亏损减少方面优于基线，但在评估中，没有一种配置实现了正的平均投资组合价值。 AI

影响 探索了多智能体强化学习在金融市场中的新应用，可能影响算法交易策略。

排序理由 学术论文，详细介绍了多智能体强化学习的新应用。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI智能体为Polymarket的预测市场做市进行训练

本文如何被排名

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3 / 100
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Tool
学术论文，详细介绍了多智能体强化学习的新应用。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
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High
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Same-day
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Skander Lejmi ·

    用于预测市场订单簿上做市的合作多智能体强化学习

    A market maker provides liquidity by quoting prices to buy and sell an asset, earning the spread while managing inventory risk. We study market makers trained with multi-agent reinforcement learning on prediction markets, specifically Polymarket, whose thin order books pose disti…

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