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
  IEEE International Conference on Robotics and Automation (ICRA), 2022 [PDF] [BibTeX]
  Outstanding Learning Paper Finalist
  

      @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}
  }