Evan Zheran Liu

27 papers A* 9Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Autonomous Mathematics Research. CoRR Tony Feng, Trieu H. Trinh, Garrett Bingham, Dawsen Hwang, Yuri Chervonyi, Junehyuk Jung, Joonkyung Lee, Carlo Pagano, Sang-hyun Kim, Federico Pasqualotto, Sergei Gukov, Jonathan N. Lee, Junsu Kim, Kaiying Hou, Golnaz Ghiasi, Yi Tay, Yaguang Li, Chenkai Kuang, Yuan Liu, Hanzhao Lin, Evan Zheran Liu, Nigamaa Nayakanti, Xiaomeng Yang, Heng-Tze Cheng, Demis Hassabis, Koray Kavukcuoglu, Quoc V. Le, Thang Luong
2025	J	`jnl`	A Tutorial on Meta-Reinforcement Learning. Found. Trends Mach. Learn. Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson
2025	A*	`conf`	AutoBencher: Towards Declarative Benchmark Construction. ICLR Xiang Lisa Li, Farzaan Kaiyom, Evan Zheran Liu, Yifan Mai, Percy Liang, Tatsunori Hashimoto
2024	—	`conf`	A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. SIGCSE (1) Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn
2024	J	`jnl`	AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models. CoRR Xiang Lisa Li, Evan Zheran Liu, Percy Liang, Tatsunori Hashimoto
2024	A*	`conf`	Learning to Explore in POMDPs with Informational Rewards. ICML Annie Xie, Logan M. Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine, Chelsea Finn
2023	J	`jnl`	A Survey of Meta-Reinforcement Learning. CoRR Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson
2023	A*	`conf`	Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. ICML Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
2023	J	`jnl`	Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. CoRR Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
2022	A*	`conf`	Giving Feedback on Interactive Student Programs with Meta-Exploration. NeurIPS Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn
2022	J	`jnl`	Giving Feedback on Interactive Student Programs with Meta-Exploration. CoRR Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn
2022	A*	`conf`	Learning Options via Compression. NeurIPS Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn
2022	J	`jnl`	Learning Options via Compression. CoRR Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, Zico Kolter, Chelsea Finn
2021	J	`jnl`	Analyzing a Caching Model. CoRR Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi, Been Kim, Martin Maas
2021	A*	`conf`	Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices. ICML Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn
2021	A*	`conf`	Just Train Twice: Improving Group Robustness without Training Group Information. ICML Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
2021	J	`jnl`	Just Train Twice: Improving Group Robustness without Training Group Information. CoRR Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
2020	A*	`conf`	An Imitation Learning Approach for Cache Replacement. ICML Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
2020	J	`jnl`	An Imitation Learning Approach for Cache Replacement. CoRR Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
2020	J	`jnl`	Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning. CoRR Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn
2020	J	`jnl`	Learning Abstract Models for Strategic Exploration and Fast Reward Transfer. CoRR Evan Zheran Liu, Ramtin Keramati, Sudarshan Seshadri, Kelvin Guu, Panupong Pasupat, Emma Brunskill, Percy Liang
2018	J	`jnl`	Mapping Natural Language Commands to Web Elements. CoRR Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang
2018	A*	`conf`	Mapping natural language commands to web elements. EMNLP Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang
2018	J	`jnl`	Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration. CoRR Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang
2018	—	`conf`	Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration. ICLR (Poster) Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang
2017	—	`conf`	From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. ACL (1) Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang
2017	J	`jnl`	From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. CoRR Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang