Résultats de recherche auteurs

1

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control Autoría: Zhang, Yifeng, Li, Peizhuo, Zhou, Tingguang, Fan, Mingfeng, Sartoretti, Guillaume

Publié 2026

Fuente: arXiv

Tipo de material: Preprint

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Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control Autoría: Zhang, Yifeng, Liu, Yilin, Gong, Ping, Li, Peizhuo, Fan, Mingfeng, Sartoretti, Guillaume

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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CogDrive: Cognition-Driven Multimodal Prediction-Planning Fusion for Safe Autonomy Autoría: Huang, Heye, Yang, Yibin, Fan, Mingfeng, Wang, Haoran, Zhao, Xiaocong, Wang, Jianqiang

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting Autoría: Li, Yi, Liu, Han, Fan, Mingfeng, Chen, Guo, Li, Chaojie, Sikdar, Biplab

Publié 2026

Fuente: arXiv

Tipo de material: Preprint

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5

CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control Autoría: Chen, Xibei, Zhang, Yifeng, Xiao, Yuxiang, Fan, Mingfeng, Wang, Maonan, Sartoretti, Guillaume

Publié 2026

Fuente: arXiv

Tipo de material: Preprint

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Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation Autoría: Fan, Mingfeng, Zhou, Jianan, Zhang, Yifeng, Wu, Yaoxin, Chen, Jinbiao, Sartoretti, Guillaume Adrien

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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Learning to Solve Compositional Geometry Routing Problems Autoría: Fan, Mingfeng, Zhou, Jianan, Cheng, Jiaqi, Zhang, Yifeng, Zhang, Jie, Sartoretti, Guillaume Adrien

Publié 2026

Fuente: arXiv

Tipo de material: Preprint

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A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem Autoría: Fan, Mingfeng, Cheng, Jiaqi, Wu, Yaoxin, Zhang, Yifeng, Yang, Yibin, Wu, Guohua, Sartoretti, Guillaume

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem Autoría: Li, Fengxiaoxiao, Mao, Xiao, Fan, Mingfeng, Zhang, Yifeng, Li, Yi, Duhan, Tanishq, Sartoretti, Guillaume

Publié 2026

Fuente: arXiv

Tipo de material: Preprint

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10

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning Autoría: Cheng, Jiaqi, Fan, Mingfeng, Zhang, Xuefeng, Liang, Jingsong, Cao, Yuhong, Wu, Guohua, Sartoretti, Guillaume Adrien

Publié 2025

Fuente: arXiv

Tipo de material: Preprint

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LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control Autoría: Zhang, Yifeng, Li, Peizhuo, Zhou, Tingguang, Fan, Mingfeng, Sartoretti, Guillaume

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control Autoría: Zhang, Yifeng, Liu, Yilin, Gong, Ping, Li, Peizhuo, Fan, Mingfeng, Sartoretti, Guillaume

CogDrive: Cognition-Driven Multimodal Prediction-Planning Fusion for Safe Autonomy Autoría: Huang, Heye, Yang, Yibin, Fan, Mingfeng, Wang, Haoran, Zhao, Xiaocong, Wang, Jianqiang

Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting Autoría: Li, Yi, Liu, Han, Fan, Mingfeng, Chen, Guo, Li, Chaojie, Sikdar, Biplab

CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control Autoría: Chen, Xibei, Zhang, Yifeng, Xiao, Yuxiang, Fan, Mingfeng, Wang, Maonan, Sartoretti, Guillaume

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation Autoría: Fan, Mingfeng, Zhou, Jianan, Zhang, Yifeng, Wu, Yaoxin, Chen, Jinbiao, Sartoretti, Guillaume Adrien

Learning to Solve Compositional Geometry Routing Problems Autoría: Fan, Mingfeng, Zhou, Jianan, Cheng, Jiaqi, Zhang, Yifeng, Zhang, Jie, Sartoretti, Guillaume Adrien

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem Autoría: Fan, Mingfeng, Cheng, Jiaqi, Wu, Yaoxin, Zhang, Yifeng, Yang, Yibin, Wu, Guohua, Sartoretti, Guillaume

CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem Autoría: Li, Fengxiaoxiao, Mao, Xiao, Fan, Mingfeng, Zhang, Yifeng, Li, Yi, Duhan, Tanishq, Sartoretti, Guillaume

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning Autoría: Cheng, Jiaqi, Fan, Mingfeng, Zhang, Xuefeng, Liang, Jingsong, Cao, Yuhong, Wu, Guohua, Sartoretti, Guillaume Adrien

Résultats de la recherche - Fan, Mingfeng

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control Autoría: Zhang, Yifeng, Li, Peizhuo, Zhou, Tingguang, Fan, Mingfeng, Sartoretti, Guillaume

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control Autoría: Zhang, Yifeng, Liu, Yilin, Gong, Ping, Li, Peizhuo, Fan, Mingfeng, Sartoretti, Guillaume

CogDrive: Cognition-Driven Multimodal Prediction-Planning Fusion for Safe Autonomy Autoría: Huang, Heye, Yang, Yibin, Fan, Mingfeng, Wang, Haoran, Zhao, Xiaocong, Wang, Jianqiang

Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting Autoría: Li, Yi, Liu, Han, Fan, Mingfeng, Chen, Guo, Li, Chaojie, Sikdar, Biplab

CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control Autoría: Chen, Xibei, Zhang, Yifeng, Xiao, Yuxiang, Fan, Mingfeng, Wang, Maonan, Sartoretti, Guillaume

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation Autoría: Fan, Mingfeng, Zhou, Jianan, Zhang, Yifeng, Wu, Yaoxin, Chen, Jinbiao, Sartoretti, Guillaume Adrien

Learning to Solve Compositional Geometry Routing Problems Autoría: Fan, Mingfeng, Zhou, Jianan, Cheng, Jiaqi, Zhang, Yifeng, Zhang, Jie, Sartoretti, Guillaume Adrien

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem Autoría: Fan, Mingfeng, Cheng, Jiaqi, Wu, Yaoxin, Zhang, Yifeng, Yang, Yibin, Wu, Guohua, Sartoretti, Guillaume

CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem Autoría: Li, Fengxiaoxiao, Mao, Xiao, Fan, Mingfeng, Zhang, Yifeng, Li, Yi, Duhan, Tanishq, Sartoretti, Guillaume

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning Autoría: Cheng, Jiaqi, Fan, Mingfeng, Zhang, Xuefeng, Liang, Jingsong, Cao, Yuhong, Wu, Guohua, Sartoretti, Guillaume Adrien

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