PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning. - Tao Yu 012; Cuiling Lan; Wenjun Zeng 001; Mingxiao Feng; Zhizheng Zhang 004; Zhibo Chen 001 (NeurIPS, 2021)

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning. - Tao Yu 012; Cuiling Lan; Wenjun Zeng 001; Mingxiao Feng; Zhibo Chen 001 (CoRR, 2021)

Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer. - Minrui Wang; Mingxiao Feng; Wengang Zhou 001; Houqiang Li (KDD, 2022)

Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management. - Yuandong Ding; Mingxiao Feng; Guozi Liu; Wei Jiang 024; Chuheng Zhang; Li Zhao 007; Lei Song 001; Houqiang Li; Yan Jin 005; Jiang Bian 002 (CoRR, 2022)

H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. - Xuanhao Pan; Yan Jin 005; Yuandong Ding; Mingxiao Feng; Li Zhao 007; Lei Song 001; Jiang Bian 002 (AAAI, 2023)

Multi-Agent Reinforcement Learning with Safety Layer for Active Voltage Control. - Yufeng Shi; Mingxiao Feng; Minrui Wang; Wengang Zhou 001; Houqiang Li (AAMAS, 2023)

Sample Efficient Reinforcement Learning with Double Importance Sampling Weight Clipping. - Jiale Han; Mingxiao Feng; Wengang Zhou 001; Houqiang Li (CoG, 2023)

MA2CL: Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning. - Haolin Song; Mingxiao Feng; Wengang Zhou 001; Houqiang Li (IJCAI, 2023)

H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem. - Xuanhao Pan; Yan Jin 005; Yuandong Ding; Mingxiao Feng; Li Zhao 007; Lei Song 001; Jiang Bian 002 (CoRR, 2023)

SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning. - Jiaheng Feng; Mingxiao Feng; Haolin Song; Wengang Zhou 001; Houqiang Li (AAAI, 2024)

Temporal State Prediction and Sequence Recovery for Multi-agent Reinforcement Learning. - Yong Wang; Mingxiao Feng; Haolin Song; Wengang Zhou 001; Houqiang Li (ICONIP (2), 2024)

TIMAR: Transition-informed representation for sample-efficient multi-agent reinforcement learning. - Mingxiao Feng; Yaodong Yang 001; Wengang Zhou 001; Houqiang Li (Neural Networks, 2025)

Recovering Permuted Sequential Features for effective Reinforcement Learning. - Yi Jiang; Mingxiao Feng; Wengang Zhou 001; Houqiang Li (Neural Networks, 2025)