Minghuan Liu
18 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (12)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(8)
🤝
Dynamic Duo
(14)
⚡
Prolific Year
(5)
🔥
Unstoppable
(6)
💎
Century Club
(18)
Conferences
ICLR (4)
NIPS (4)
CORL (3)
IJCAI (3)
CVPR (1)
ICML (1)
JMLR (1)
RSS (1)
Top co-authors
Keywords
reinforcement learning
(4)
dynamics model
(2)
proximal policy optimization
(2)
sample efficiency
(2)
offline reinforcement learning
(2)
multi-agent system
(2)
trajectory prediction
(1)
prompt-based learning
(1)
policy optimization
(1)
attention mechanism
(1)
curriculum learning
(1)
depth estimation
(1)
feature learning
(1)
policy learning
(1)
humanoid robot
(1)
policy gradient
(1)
behavior cloning
(1)
importance sampling
(1)
multi-agent learning
(1)
imperfect information
(1)
Papers
A Unified and General Humanoid Whole-Body Controller for Fine-Grained Locomotion
RSS 2025
Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation
CVPR 2025
MADiff: Offline Multi-agent Learning with Diffusion Models
NIPS 2024
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
ICLR 2024
ACE: A Cross-platform and visual-Exoskeletons System for Low-Cost Dexterous Teleoperation
CORL 2024
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs
CORL 2024
Visual Whole-Body Control for Legged Loco-Manipulation
CORL 2024
Vision-Language Foundation Models as Effective Robot Imitators
ICLR 2024
Visual Imitation Learning with Patch Rewards
ICLR 2023
Adaptation Augmented Model-based Policy Optimization
JMLR 2023
Goal-Conditioned Reinforcement Learning: Problems and Solutions
IJCAI 2022
Reinforcement Learning with Automated Auxiliary Loss Search
NIPS 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
ICML 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
NIPS 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
IJCAI 2022
Curriculum Offline Imitating Learning
NIPS 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
IJCAI 2021
Multi-Agent Interactions Modeling with Correlated Policies
ICLR 2020