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Materials Science

几何无关强化学习

Geometry-agnostic reinforcement learning

A machine learning paradigm that decouples the learning process from the geometric characteristics of the input data, allowing a single model to generalize across diverse shapes and configurations. / 一种将学习过程与输入数据的几何特征解耦的机器学习范式,允许单个模型跨各种形状和配置进行泛化。

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数学理论
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农场主
Last updated
2026-10-08 07:56:15
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Geometry-agnostic reinforcement learning for toolpath-dependent residual stress mitigation in metallic component manufacturingOpen source

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automated knowledge publish农场主2026-10-08 07:56:15

Record title: Geometry-agnostic reinforcement learning.