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科言猫学术研究的AI总结
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J

Jung In Kim

korea university

1H指数
6论文数
2被引数
收录论文 2
发表时间
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DynaMIX: Sample-Efficient Multi Agent Reinforcement Learning with Multi-step Temporal Forward Dynamics ModelingDynaMIX: 基于多步时序前向动力学建模的样本高效多智能体强化学习
errADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE. THEORY AND APPLICATIONS, IEA/AIE 2025, PT I
IF0
err2026-01-01
err0
PREAI
errKim, Jung In; Kim, Seoung Bum
err分享
err收藏
D-QMIX: multi-step sequential forward dynamics modeling with global state and self-attention for sample-efficient multi-agent reinforcement learningD-QMIX：一种基于全局状态和自注意力机制的、用于样本高效多智能体强化学习的多步序列前向动力学建模
errINFORMATION SCIENCES
IF6.8
err2025-11-01
err0
PREAI
errKim, Jung In; Kim, Seoung Bum
err分享
err收藏

研究方向

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合作学者
合作期刊
S
Seoung Bum Kim
H 指数: 33 · 论文数: 292
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