Mingqi Yuan

According to our database, Mingqi Yuan authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning.

Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Glen Berseth, Wenjun Zeng

CoRR, 2024

Real-Time Dynamic Robot-Assisted Hand-Object Interaction via Motion Primitives.

Mingqi Yuan, Huijiang Wang, Kai-Fung Chu, Fumiya Iida, Bo Li, Wenjun Zeng

CoRR, 2024

2023

Rényi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning.

Mingqi Yuan, Man-On Pun, Dong Wang

IEEE Trans. Artif. Intell., October, 2023

RLLTE: Long-Term Evolution Project of Reinforcement Learning.

Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng

CoRR, 2023

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning.

Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

Proceedings of the International Conference on Machine Learning, 2023

2022

Tackling Visual Control via Multi-View Exploration Maximization.

Mingqi Yuan, Xin Jin, Bo Li, Wenjun Zeng

CoRR, 2022

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning.

Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

CoRR, 2022

Rényi State Entropy for Exploration Acceleration in Reinforcement Learning.

Mingqi Yuan, Man-On Pun, Dong Wang

CoRR, 2022

Intrinsically-Motivated Reinforcement Learning: A Brief Introduction.

Mingqi Yuan

CoRR, 2022

Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation.

Mingqi Yuan, Man-On Pun

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning.

Mingqi Yuan, Mon-On Pun, Yi Chen, Dong Wang, Haojun Li

CoRR, 2021

Hybrid Adversarial Inverse Reinforcement Learning.

Mingqi Yuan, Man-On Pun, Yi Chen, Qi Cao

CoRR, 2021

Transformer Empowered CSI Feedback for Massive MIMO Systems.

Yang Xu, Mingqi Yuan, Man-On Pun

Proceedings of the 30th Wireless and Optical Communications Conference, 2021

Multi-Agent Reinforcement Learning-Based Fairness-Aware Scheduling for Bursty Traffic.

Mingqi Yuan, Qi Cao, Man-On Pun, Yi Chen

Proceedings of the IEEE Global Communications Conference, 2021

2020

Towards User Scheduling for 6G: A Fairness-Oriented Scheduler Using Multi-Agent Reinforcement Learning.

Mingqi Yuan, Qi Cao, Man-On Pun, Yi Chen

CoRR, 2020