Evan Zheran Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Guided Exploration

Imitation Learning

Top Venues

Publications

Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn
A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. SIGCSE (1) (2024)
Xiang Lisa Li, Evan Zheran Liu, Percy Liang, Tatsunori Hashimoto
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models. CoRR (2024)
Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson
A Survey of Meta-Reinforcement Learning. CoRR (2023)
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. ICML (2023)
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. CoRR (2023)
Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn
Giving Feedback on Interactive Student Programs with Meta-Exploration. NeurIPS (2022)
Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, Zico Kolter, Chelsea Finn
Learning Options via Compression. CoRR (2022)
Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn
Giving Feedback on Interactive Student Programs with Meta-Exploration. CoRR (2022)
Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn
Learning Options via Compression. NeurIPS (2022)
Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices. ICML (2021)
Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
Just Train Twice: Improving Group Robustness without Training Group Information. CoRR (2021)
Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi, Been Kim, Martin Maas
Analyzing a Caching Model. CoRR (2021)
Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
Just Train Twice: Improving Group Robustness without Training Group Information. ICML (2021)
Evan Zheran Liu, Ramtin Keramati, Sudarshan Seshadri, Kelvin Guu, Panupong Pasupat, Emma Brunskill, Percy Liang
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer. CoRR (2020)
Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn
Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning. CoRR (2020)
Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
An Imitation Learning Approach for Cache Replacement. ICML (2020)
Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
An Imitation Learning Approach for Cache Replacement. CoRR (2020)
Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang
Mapping natural language commands to web elements. EMNLP (2018)
Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang
Mapping Natural Language Commands to Web Elements. CoRR (2018)
Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration. CoRR (2018)
Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration. ICLR (Poster) (2018)
Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. CoRR (2017)
Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. ACL (1) (2017)