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Evan Zheran Liu
Evan Zheran Liu
Stanford University, Imbue
Verified email at cs.stanford.edu - Homepage
Title
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Cited by
Year
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
4242021
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
2042017
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
1272018
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
942023
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
812020
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
702021
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
432018
Learning Options via Compression
Y Jiang, EZ Liu, B Eysenbach, Z Kolter, C Finn
Neural Information Processing Systems (NeurIPS), 2022
112022
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
102022
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
32023
Meta-Reinforcement Learning: Algorithms and Applications
EZ Liu
Stanford University, 2023
12023
Analyzing a caching model
L Sixt, EZ Liu, M Pellat, J Wexler, M Hashemi, B Kim, M Maas
arXiv preprint arXiv:2112.06989, 2021
12021
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
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
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Articles 1–15