Minghuan Liu

Orcid: 0009-0009-5585-1746

According to our database1, Minghuan Liu authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Visual Whole-Body Control for Legged Loco-Manipulation.
CoRR, 2024

Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem.
CoRR, 2024

2023
Adaptation Augmented Model-based Policy Optimization.
J. Mach. Learn. Res., 2023

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.
CoRR, 2023

Vision-Language Foundation Models as Effective Robot Imitators.
CoRR, 2023

Is Risk-Sensitive Reinforcement Learning Properly Resolved?
CoRR, 2023

MADiff: Offline Multi-agent Learning with Diffusion Models.
CoRR, 2023

Visual Imitation Learning with Patch Rewards.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

D4W: Dependable Data-Driven Dynamics for Wheeled Robots.
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents.
CoRR, 2022

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.
CoRR, 2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation.
CoRR, 2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Learning with Automated Auxiliary Loss Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Goal-Conditioned Reinforcement Learning: Problems and Solutions.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization.
Proceedings of the International Conference on Machine Learning, 2022

2021
Curriculum Offline Imitation Learning.
CoRR, 2021

Learning to Build High-Fidelity and Robust Environment Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Curriculum Offline Imitating Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Energy-Based Imitation Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Multi-Agent Interactions Modeling with Correlated Policies.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Automatic Proofreading in Chinese: Detect and Correct Spelling Errors in Character-Level with Deep Neural Networks.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Generative adversarial exploration for reinforcement learning.
Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019


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