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多语言强化学习

多语言强化学习将强化学习（RL）范式——即智能体通过交互和奖励进行学习——应用于涉及多种语言的环境。智能体必须能够解读多语言观测、遵循跨语言指令，或将一种语言上训练的策略泛化到新的目标语言，这使其适用于跨语言对话、多语言游戏智能体以及与语言相关的序贯决策任务。

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多语言强化学习
微调强化学习多语言句子嵌入多语言 Transformer强化学习迁移学习与强化学习 (Transfer RL)…

来源

  1. Sutton, R. S., & Barto, A. G. (1998). Reinforcement Learning: An Introduction. MIT Press. ISBN: 978-0262193986
  2. Reinforcement learning. Wikipedia. link ↗

如何引用本页

ScholarGate. (2026, June 3). Multilingual Reinforcement Learning (Cross-Lingual RL for NLP and Language Grounding). ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-reinforcement-learning

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ScholarGate — Multilingual Reinforcement Learning (Multilingual Reinforcement Learning (Cross-Lingual RL for NLP and Language Grounding)). 于 2026-06-15 检索自 https://scholargate.app/zh/deep-learning/multilingual-reinforcement-learning · 数据集： https://doi.org/10.5281/zenodo.20539026