Xinyue Chen

#Pronouns: she, her, hers#

Email: xinyuevikchen[at]eecs.berkeley.edu

Links: [Google Scholar] [GitHub]

Curriculum Vitae: [updating] .

About me

Hi! I am Xinyue Chen, a CS graduate student at UC Berkeley working with Prof. Pieter Abbeel. During my undergraduate studies, I was fortunate to be advised by Prof. Keith Ross of NYU and Prof. Xiaolong Wang of UCSD. My current research is on Reinforcement Learning and its applications. I am also broadly interested in topics like Representation Learning, Vision and Robotics.

Education

• B. Sc. in Computer Science, New York University Shanghai, September 2018 ~ June 2022. [Graduated with Dean’s Award in Computer Science, Data Science, and Engineering (top-1 honor in the department)]
• Ph. D. in Computer Science, University of California, Berkeley. August 2022 ~ Present.

Publications

• Randomized Ensembled Double Q-Learning: Learning Fast Without a Model. Xinyue Chen*, Che Wang*, Zijian Zhou*, Keith Ross. International Conference on Learning Representations (ICLR), 2021. 【Acceptance Rate: 28.7%】
• BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning. Xinyue Chen, Zijian Zhou, Zheng Wang, Che Wang, Yanqiu Wu, Keith Ross. Neural Information Processing Systems (NeurIPS), 2020. 【Acceptance Rate: 20.1%】
• Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance. Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Zijian Zhou, Keith W. Ross. NeurIPS deep reinforcement learning workshop, 2022.

Services

• Reviewer for NeurIPS 2021, ICLR 2022.
• Learning assistant / Teaching assistant of NYU Shanghai, Calculus (Fall 2020).
• Volunteer for Shanghai Sunshine Homeland Healing Home (August 2018), Renji Hospital (Summer 2016 and 2017), Shanghai Museum of Arts and Crafts (Spring 2017).