Huihan Liu bio photo

Huihan Liu

PhD in Computing Science @ UT Austin

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I am a first-year Ph.D. student in Computer Science at the University of Texas at Austin. I am fortunate to be advised by Professor Yuke Zhu, and I am a member of the Robot Perception and Learning Lab. I am broadly interested in Robotics, Reinforcement Learning and Machine Learning. My current research focuses on the intersection of Reinforcement Learning and Imitation Learning, and Human-in-the-Loop robot learning.


I previously did my undergraduate in Computer Science at the University of California, Berkeley, and I was affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab. I had the pleasure to work with Professor Sergey Levine and Professor Costas Spanos.

Recent Publications

  • Soroush Nasiriany, Huihan Liu, Yuke Zhu
    Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
    Technical report arXiv:2110.03655, 2021 [PDF] [BibTeX]

        @misc{nasiriany2021augmenting,
          title={Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks}, 
          author={Soroush Nasiriany and Huihan Liu and Yuke Zhu},
          year={2021},
          eprint={2110.03655},
          archivePrefix={arXiv},
          primaryClass={cs.LG}
    }
      
  • Avi Singh*, Huihan Liu*, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
    Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
    International Conference on Learning Representations (ICLR), 2021 [PDF] [BibTeX]
    Oral Presentation (top 1.8% of submissions)

        @misc{singh2020parrot,
          title={Parrot: Data-Driven Behavioral Priors for Reinforcement Learning}, 
          author={Avi Singh and Huihan Liu and Gaoyue Zhou and Albert Yu and Nicholas Rhinehart and Sergey Levine},
          year={2020},
          eprint={2011.10024},
          archivePrefix={arXiv},
          primaryClass={cs.LG}
    }