Evan Zheran Liu

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Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Chelsea FinnStanford University, Physical IntelligenceVerified email at cs.stanford.edu
Panupong PasupatGoogleVerified email at cs.stanford.edu
Kelvin GuuSenior Staff Research Scientist, GoogleVerified email at google.com
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityVerified email at cmu.edu
Pang Wei KohUniversity of WashingtonVerified email at cs.washington.edu
Shiori SagawaPhD Student, Stanford UniversityVerified email at stanford.edu
Annie S. ChenStanford UniversityVerified email at stanford.edu
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Milad HashemiGoogleVerified email at google.com
Tim (Tianlin) ShiPhD Student at Stanford UniversityVerified email at stanford.edu
Luisa ZintgrafDeepMindVerified email at deepmind.com
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
Junwhan AhnGoogle DeepMindVerified email at google.com
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Parthasarathy RanganathanGoogleVerified email at google.com
Ramtin KeramatiStanford UniversityVerified email at stanford.edu
Chris PiechAssistant Professor, Stanford UniversityVerified email at cs.stanford.edu
Yiding JiangPhD Student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Benjamin EysenbachPrinceton UniversityVerified email at princeton.edu

Evan Zheran Liu

Stanford University, Imbue

Verified email at cs.stanford.edu - Homepage

Reinforcement Learning Machine Learning Deep Learning


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Just train twice: Improving group robustness without training group information EZ Liu, B Haghgoo, AS Chen, A Raghunathan, PW Koh, S Sagawa, ... International Conference on Machine Learning, 6781-6792, 2021	521	2021
From language to programs: Bridging reinforcement learning and maximum marginal likelihood K Guu, P Pasupat, EZ Liu, P Liang Association for Computational Linguistics (ACL), 2017	209	2017
Reinforcement learning on web interfaces using workflow-guided exploration EZ Liu, K Guu, P Pasupat, T Shi, P Liang International Conference on Learning Representations (ICLR), 2018	190	2018
A survey of meta-reinforcement learning J Beck, R Vuorio, EZ Liu, Z Xiong, L Zintgraf, C Finn, S Whiteson arXiv preprint arXiv:2301.08028, 2023	152	2023
An imitation learning approach for cache replacement E Liu, M Hashemi, K Swersky, P Ranganathan, J Ahn International Conference on Machine Learning, 6237-6247, 2020	96	2020
Decoupling exploration and exploitation for meta-reinforcement learning without sacrifices EZ Liu, A Raghunathan, P Liang, C Finn International conference on machine learning, 6925-6935, 2021	85	2021
Mapping natural language commands to web elements P Pasupat, TS Jiang, EZ Liu, K Guu, P Liang Empirical Methods in Natural Language Processing (EMNLP), 2018	50	2018
Learning Options via Compression Y Jiang, EZ Liu, B Eysenbach, Z Kolter, C Finn Neural Information Processing Systems (NeurIPS), 2022	17	2022
Giving Feedback on Interactive Student Programs with Meta-Exploration EZ Liu, M Stephan, A Nie, C Piech, E Brunskill, C Finn Neural Information Processing Systems (NeurIPS), 2022	13	2022
Learning abstract models for strategic exploration and fast reward transfer EZ Liu, R Keramati, S Seshadri, K Guu, P Pasupat, E Brunskill, P Liang arXiv preprint arXiv:2007.05896, 2020	8*	2020
Simple embodied language learning as a byproduct of meta-reinforcement learning EZ Liu, S Suri, T Mu, A Zhou, C Finn International Conference on Machine Learning, 21997-22008, 2023	5	2023
Autobencher: Creating salient, novel, difficult datasets for language models XL Li, EZ Liu, P Liang, T Hashimoto arXiv preprint arXiv:2407.08351, 2024	4	2024
Analyzing a caching model L Sixt, EZ Liu, M Pellat, J Wexler, M Hashemi, B Kim, M Maas arXiv preprint arXiv:2112.06989, 2021	4	2021
Learning to Explore in POMDPs with Informational Rewards A Xie, LM Bhamidipaty, EZ Liu, J Hong, S Levine, C Finn Forty-first International Conference on Machine Learning, 0	3
Meta-Reinforcement Learning: Algorithms and Applications EZ Liu Stanford University, 2023	1	2023
A Fast and Accurate Machine Learning Autograder for the Breakout Assignment EZ Liu, D Yuan, A Ahmed, E Cornwall, J Woodrow, K Burns, A Nie, ... Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024		2024

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