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} }