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科言猫学术研究的AI总结
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M

Mingxiao Feng

University of Science and Technology of China

3H指数
9论文数
40被引数
收录论文 4
发表时间
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Learning to ground multi-agent reinforcement learning with masked multi-agent AutoEncoding基于掩码多智能体自编码的强化学习对齐
errNeural Networks
IF6.3
err2026-07-01
err0
PREAI
errFeng, Mingxiao; Liu, Lin; Zhou, Wengang; Li, Houqiang
err分享
err收藏
J-Mac: Jacobian Matrix Meets Masked Contrastive Learning for Generalization in Reinforcement Learning
errIEEE Transactions on Pattern Analysis and Machine Intelligence
IF18.6
err2025-11-24
err0
PREAI
errYi Jiang; Wengang Zhou; Yufeng Shi; Mingxiao Feng; Houqiang Li
err分享
err收藏
TIMAR: Transition-informed representation for sample-efficient multi-agent reinforcement learningTIMAR: 用于样本高效的多主体强化学习的过渡通知表示
errNEURAL NETWORKS
IF6.3
err2025-04-01
err0
PREAI
errFeng, Mingxiao; Yang, Yaodong; Zhou, Wengang; Li, Houqiang
err分享
err收藏
Recovering Permuted Sequential Features for effective Reinforcement Learning
errNEURAL NETWORKS
IF6.3
err2025-02-01
err0
PREAI
errJiang, Yi; Feng, Mingxiao; Zhou, Wengang; Li, Houqiang
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
李
李厚强 (Houqiang Li)
H 指数: 75 · 论文数: 951
W
Wengang Zhou
H 指数: 63 · 论文数: 528
Y
Yi Jiang
H 指数: 37 · 论文数: 450
Y
Yaodong Yang
H 指数: 32 · 论文数: 319
Y
Yufeng Shi
H 指数: 9 · 论文数: 36
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