Mingqi Yuan

Orcid: 0000-0002-9149-6202

According to our database¹, Mingqi Yuan authored at least 30 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Can VLA Models Learn from Real-World Data Continually without Forgetting?

[BibT_eX]

[DOI]

CoRR, May, 2026

Gait-Adaptive Perceptive Humanoid Locomotion With Real-Time Under-Base Terrain Reconstruction.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., April, 2026

A Survey of Behavior Foundation Model: Next-Generation Whole-Body Control System of Humanoid Robots.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps.

[BibT_eX]

[DOI]

CoRR, April, 2026

AtomVLA: Scalable Post-Training for Robotic Manipulation via Predictive Latent World Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

Vision Transformers that Never Stop Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

Continual Policy Distillation from Distributed Reinforcement Learning Teachers.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations.

[BibT_eX]

[DOI]

CoRR, December, 2025

Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, December, 2025

Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots.

[BibT_eX]

[DOI]

CoRR, June, 2025

Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2025

Deep Reinforcement Learning with Hybrid Intrinsic Reward Model.

[BibT_eX]

[DOI]

CoRR, January, 2025

Adaptive Data Exploitation in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, January, 2025

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning.

[BibT_eX]

[DOI]

Mingqi Yuan

Roger Creus Castanyer

Trans. Mach. Learn. Res., 2025

Hierarchical Procedural Framework for Low-latency Robot-Assisted Hand-Object Interaction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

ULTHO: Ultra-Lightweight Yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

RLLTE: Long-Term Evolution Project of Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

Rényi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning.

[BibT_eX]

[DOI]

Mingqi Yuan

Man-On Pun

Dong Wang

IEEE Trans. Artif. Intell., October, 2023

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Tackling Visual Control via Multi-View Exploration Maximization.

[BibT_eX]

[DOI]

CoRR, 2022

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Rényi State Entropy for Exploration Acceleration in Reinforcement Learning.

[BibT_eX]

[DOI]

Mingqi Yuan

Man-On Pun

Dong Wang

CoRR, 2022

Intrinsically-Motivated Reinforcement Learning: A Brief Introduction.

[BibT_eX]

[DOI]

Mingqi Yuan

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

Hybrid Adversarial Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Transformer Empowered CSI Feedback for Massive MIMO Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Mingqi Yuan

Timeline

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Links

On csauthors.net:

Bibliography

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