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Updated: Jan 8, 2026

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带有多分部神经元的尖端世界模型用于基于模型的强化学习

Yinqian Sun1,2, Feifei Zhao1,2,3, Mingyang Lyu1,4

  • 1Brain-inspired Cognitive AI Lab, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

Proceedings of the National Academy of Sciences of the United States of America
|December 12, 2025
PubMed
概括

这项研究介绍了一种用于强化学习的新型尖端世界模型 (Spiking-WM). 带有增强时间记忆的尖端神经网络 (SNN) 现在在决策任务中实现了与传统模型相比的性能.

关键词:
大脑启发的智能是大脑启发的智能树突式计算模型的计算模型.基于模型的强化学习学习.尖的世界模型.

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