Evan Z. Liu

Hi! I'm a fourth and final year PhD student at Stanford University, advised by Chelsea Finn. My research is supported by a NSF Graduate Research Fellowship.

I work on meta-reinforcement learning to build practical agents that can quickly solve new tasks by leveraging prior experience on related tasks.

I spend most of my free time trying not to pull too hard on plastic or real rock (rock climbing). I'd love to climb with you!

Selected Publications (See all)

Meta-Reinforcement Learning: Algorithms and Applications

Evan Zheran Liu
PhD Dissertation, 2023
[defense slides]
Giving Feedback on Interactive Programs with Meta-Exploration

Evan Zheran Liu*, Moritz Stephan*, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn
Neural Information Processing Systems (NeurIPS), 2022 (oral)
[paper] [talk] [poster] [code]
Decoupling Exploration and Exploitation in Meta-Reinforcement Learning without Sacrifices

Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn
International Conference on Machine Learning (ICML), 2021
[paper] [short talk] [website] [poster] [blog post] [code]
An Imitation Learning Approach for Cache Replacement

Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
International Conference on Machine Learning (ICML), 2020

[paper] [talk] [code]
Learning Options via Compression

Yiding Jiang*, Evan Zheran Liu*, Benjamin Eysenbach, Zico Kolter, Chelsea Finn
Neural Information Processing Systems (NeurIPS), 2022
[paper] [code]
Just Train Twice: Improving Group Robustness without Training Group Information

Evan Zheran Liu*, Behzad Haghgoo*, Annie S. Chen*, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
International Conference on Machine Learning (ICML), 2021 (long talk)
[paper] [poster] [code]