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English(EN) JaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in Seconds

JaxMARL-BC 模拟器大幅缩短经济建模的 MARL 训练时间 · 跟踪 2 个来源

作者 PulseAugur 编辑部 · [5 个来源] ·

一款名为 JaxMARL-BC 的新开源模拟器已被开发出来，用于加速宏观经济建模的多智能体强化学习（MARL）。这款 JAX 加速工具显著缩短了训练时间，比之前的实现快 75 倍到 724 倍，并支持多达 200,000 个独立学习家庭的模拟。该模拟器通过连接到可信的动态随机一般均衡（DSGE）模型并大幅降低计算需求，解决了 MARL 在宏观经济学中采用的局限性。 AI

影响 通过使复杂的模拟更易于访问和训练速度更快，加速了人工智能驱动的经济建模研究。

排序理由 该集群包含一篇 arXiv 论文，详细介绍了用于经济学中多智能体强化学习的新开源模拟器。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →

JaxMARL-BC 模拟器大幅缩短经济建模的 MARL 训练时间 · 跟踪 2 个来源

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该集群包含一篇 arXiv 论文，详细介绍了用于经济学中多智能体强化学习的新开源模拟器。
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报道来源 [5]

  1. llama.cpp — Releases TIER_1 (SO) · max-krasnyansky ·

    b11832

    <p>hexagon: Op Fusion refactoring, optimizations and new fusions like `B…</p>

  2. arXiv cs.AI TIER_1 English(EN) · Yan Shi, Kehua Chen, Jiarui Qi, Yihong Tang, Haichen Liao, Yinhai Wang ·

    DriveMind：闭环自动驾驶的思维演化信念追踪

    arXiv:2610.32069v1 Announce Type: new Abstract: Recent multimodal large language models (MLLMs) can perceive a traffic scene, reason about it, and propose a driving action within a single model. However, existing MLLM-based drivers reason from scratch at each frame and commit to …

  3. arXiv cs.LG TIER_1 English(EN) · Daniele Montagnani, Andrea Coletta, Antonietta Mira, Aldo Glielmo ·

    JaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in Seconds

    arXiv:2610.28907v1 Announce Type: cross Abstract: Multi-agent reinforcement learning (MARL) offers a principled way of populating simulated economies with many heterogeneous decision makers. Its adoption, pioneered in finance, has nonetheless been slow in macroeconomics because o…

  4. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Aldo Glielmo ·

    JaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in Seconds

    Multi-agent reinforcement learning (MARL) offers a principled way of populating simulated economies with many heterogeneous decision makers. Its adoption, pioneered in finance, has nonetheless been slow in macroeconomics because of two main limitations: the lack of a shared frame…

  5. arXiv stat.ML TIER_1 English(EN) · Nathan Wycoff ·

    立方体上的球形-线性贝叶斯优化的收购

    arXiv:2610.32628v1 Announce Type: new Abstract: Recent work demonstrated that executing Bayesian Optimization (BO) using simply a linear surrogate with a clever transformation is enough to approximate the performance of the standard Gaussian-Process (GP) based version on high-dim…

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