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2020 – today
- 2024
[i11]Mingqi Yuan, Huijiang Wang, Kai-Fung Chu, Fumiya Iida, Bo Li, Wenjun Zeng:
Real-Time Dynamic Robot-Assisted Hand-Object Interaction via Motion Primitives. CoRR abs/2405.19531 (2024)- [i10]Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Glen Berseth, Wenjun Zeng
:
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning. CoRR abs/2405.19548 (2024) - 2023
- [j1]Mingqi Yuan, Man-On Pun, Dong Wang:
Rényi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning. IEEE Trans. Artif. Intell. 4(5): 1154-1164 (2023) - [c4]Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng:
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning. ICML 2023: 40531-40554 - [i9]Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng:
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning. CoRR abs/2301.10886 (2023) - [i8]Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng:
RLLTE: Long-Term Evolution Project of Reinforcement Learning. CoRR abs/2309.16382 (2023) - 2022
- [c3]Mingqi Yuan, Man-On Pun:
Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation. SSCI 2022: 1545-1550 - [i7]Mingqi Yuan:
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction. CoRR abs/2203.02298 (2022) - [i6]Mingqi Yuan, Man-On Pun, Dong Wang:
Rényi State Entropy for Exploration Acceleration in Reinforcement Learning. CoRR abs/2203.04297 (2022) - [i5]Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng:
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning. CoRR abs/2209.08842 (2022) - [i4]Mingqi Yuan, Xin Jin, Bo Li, Wenjun Zeng:
Tackling Visual Control via Multi-View Exploration Maximization. CoRR abs/2211.15233 (2022) - 2021
- [c2]Mingqi Yuan, Qi Cao, Man-On Pun, Yi Chen:
Multi-Agent Reinforcement Learning-Based Fairness-Aware Scheduling for Bursty Traffic. GLOBECOM 2021: 1-6 - [c1]Yang Xu, Mingqi Yuan, Man-On Pun:
Transformer Empowered CSI Feedback for Massive MIMO Systems. WOCC 2021: 157-161 - [i3]Mingqi Yuan, Man-On Pun, Yi Chen, Qi Cao:
Hybrid Adversarial Inverse Reinforcement Learning. CoRR abs/2102.02454 (2021) - [i2]Mingqi Yuan, Mon-On Pun, Yi Chen, Dong Wang, Haojun Li:
Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning. CoRR abs/2107.08888 (2021) - 2020
- [i1]Mingqi Yuan, Qi Cao, Man-On Pun, Yi Chen:
Towards User Scheduling for 6G: A Fairness-Oriented Scheduler Using Multi-Agent Reinforcement Learning. CoRR abs/2012.15081 (2020)
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