Publications

Preprints

2024

  1. Preprint
    RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
    Mingqi Yuan, Roger Creus Castanyer , Bo Li , and 3 more authors
    2024
  2. Preprint
    Real-Time Dynamic Robot-Assisted Hand-Object Interaction via Motion Primitives
    Mingqi Yuan, Huijiang Wang , Kai-Fung Chu , and 3 more authors
    2024

2023

  1. Preprint
    RLLTE: Long-Term Evolution Project of Reinforcement Learning
    Mingqi Yuan, Zequn Zhang , Yang Xu , and 4 more authors
    2023

2022

  1. Preprint
    Intrinsically-Motivated Reinforcement Learning: A Brief Introduction
    Mingqi Yuan
    2022

Conference Papers

2023

  1. ICML
    Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
    Mingqi Yuan, Bo Li , Xin Jin , and 1 more author
    In International Conference on Machine Learning , 2023

2022

  1. NeurIPS
    Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
    Mingqi Yuan, Bo Li , Xin Jin , and 1 more author
    In Deep Reinforcement Learning Workshop NeurIPS 2022 , 2022
  2. SSCI
    Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation
    Mingqi Yuan, and Man-on Pun
    In 2022 IEEE Symposium Series on Computational Intelligence (SSCI) , 2022

2021

  1. WOCC
    Transformer empowered CSI feedback for massive MIMO systems
    Yang Xu , Mingqi Yuan, and Man-On Pun
    In 2021 30th Wireless and Optical Communications Conference (WOCC) , 2021
  2. GLOBECOM
    Multi-Agent Reinforcement Learning-Based Fairness-Aware Scheduling for Bursty Traffic
    Mingqi Yuan, Qi Cao , Man-On Pun , and 1 more author
    In 2021 IEEE Global Communications Conference (GLOBECOM) , 2021

Journal Papers

2022

  1. TAI
    Rényi state entropy maximization for exploration acceleration in reinforcement learning
    Mingqi Yuan, Man-On Pun , and Dong Wang
    IEEE Transactions on Artificial Intelligence, 2022
  2. TSIP
    Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning
    Mingqi Yuan, Qi Cao , Man-On Pun , and 2 more authors
    APSIPA Transactions on Signal and Information Processing, 2022