Towards User Scheduling for 6G: A Fairness-Oriented Scheduler Using Multi-Agent Reinforcement Learning. - Mingqi Yuan; Qi Cao 001; Man-On Pun; Yi Chen 013 (CoRR, 2020)

Multi-Agent Reinforcement Learning-Based Fairness-Aware Scheduling for Bursty Traffic. - Mingqi Yuan; Qi Cao 001; Man-On Pun; Yi Chen 013 (GLOBECOM, 2021)

Transformer Empowered CSI Feedback for Massive MIMO Systems. - Yang Xu; Mingqi Yuan; Man-On Pun (WOCC, 2021)

Hybrid Adversarial Inverse Reinforcement Learning. - Mingqi Yuan; Man-On Pun; Yi Chen 013; Qi Cao 001 (CoRR, 2021)

Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning. - Mingqi Yuan; Mon-On Pun; Yi Chen; Dong Wang; Haojun Li (CoRR, 2021)

Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation. - Mingqi Yuan; Man-On Pun (SSCI, 2022)

Intrinsically-Motivated Reinforcement Learning: A Brief Introduction. - Mingqi Yuan (CoRR, 2022)

Rényi State Entropy for Exploration Acceleration in Reinforcement Learning. - Mingqi Yuan; Man-On Pun; Dong Wang (CoRR, 2022)

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning. - Mingqi Yuan; Bo Li 037; Xin Jin 014; Wenjun Zeng 001 (CoRR, 2022)

Tackling Visual Control via Multi-View Exploration Maximization. - Mingqi Yuan; Xin Jin 014; Bo Li 037; Wenjun Zeng 001 (CoRR, 2022)

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning. - Mingqi Yuan; Bo Li 037; Xin Jin 014; Wenjun Zeng 001 (ICML, 2023)

Rényi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning. - Mingqi Yuan; Man-On Pun; Dong Wang (IEEE Trans. Artif. Intell., 2023)

Real-Time Dynamic Robot-Assisted Hand-Object Interaction via Motion Primitives. - Mingqi Yuan; Huijiang Wang; Kai-Fung Chu; Fumiya Iida; Bo Li 037; Wenjun Zeng 001 (CoRR, 2024)

RLLTE: Long-Term Evolution Project of Reinforcement Learning. - Mingqi Yuan; Zequn Zhang; Yang Xu; Shihao Luo; Bo Li 037; Xin Jin 014; Wenjun Zeng 001 (AAAI, 2025)

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning. - Mingqi Yuan; Roger Creus Castanyer; Bo Li 037; Xin Jin 014; Wenjun Zeng 001; Glen Berseth (Trans. Mach. Learn. Res., 2025)

Adaptive Data Exploitation in Deep Reinforcement Learning. - Mingqi Yuan; Bo Li 037; Xin Jin 014; Wenjun Zeng 001 (CoRR, 2025)

Deep Reinforcement Learning with Hybrid Intrinsic Reward Model. - Mingqi Yuan; Bo Li 037; Xin Jin 014; Wenjun Zeng 001 (CoRR, 2025)

ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning. - Mingqi Yuan; Bo Li 037; Xin Jin 014; Wenjun Zeng 001 (CoRR, 2025)

Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning. - Mingqi Yuan; Qi Wang 080; Guozheng Ma; Bo Li 037; Xin Jin 014; Yunbo Wang; Xiaokang Yang 001; Wenjun Zeng 001; Dacheng Tao (CoRR, 2025)

Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots. - Mingqi Yuan; Tao Yu; Wenqi Ge; Xiuyong Yao; Dapeng Li; Huijiang Wang; Jiayu Chen 006; Xin Jin; Bo Li; Hua Chen; Wei Zhang; Wenjun Zeng (CoRR, 2025)