AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models von Li, Xiang Lisa, Liu, Evan Zheran, Liang, Percy, Hashimoto, Tatsunori

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Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning von Liu, Evan Zheran, Suri, Sahaana, Mu, Tong, Zhou, Allan, Finn, Chelsea

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A Survey of Meta-Reinforcement Learning von Beck, Jacob, Vuorio, Risto, Liu, Evan Zheran, Xiong, Zheng, Zintgraf, Luisa, Finn, Chelsea, Whiteson, Shimon

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Learning Options via Compression von Jiang, Yiding, Liu, Evan Zheran, Eysenbach, Benjamin, Kolter, Zico, Finn, Chelsea

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Giving Feedback on Interactive Student Programs with Meta-Exploration von Liu, Evan Zheran, Stephan, Moritz, Nie, Allen, Piech, Chris, Brunskill, Emma, Finn, Chelsea

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Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices von Liu, Evan Zheran, Raghunathan, Aditi, Liang, Percy, Finn, Chelsea

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AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models von Xiang Lisa Li, Liu, Evan Zheran, Liang, Percy, Hashimoto, Tatsunori

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Analyzing a Caching Model von Sixt, Leon, Liu, Evan Zheran, Pellat, Marie, Wexler, James, Hashemi, Milad, Kim, Been, Maas, Martin

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Just Train Twice: Improving Group Robustness without Training Group Information von Liu, Evan Zheran, Haghgoo, Behzad, Chen, Annie S, Raghunathan, Aditi, Koh, Pang Wei, Sagawa, Shiori, Liang, Percy, Finn, Chelsea

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A Survey of Meta-Reinforcement Learning von Beck, Jacob, Vuorio, Risto, Liu, Evan Zheran, Xiong, Zheng, Zintgraf, Luisa, Finn, Chelsea, Whiteson, Shimon

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Learning Abstract Models for Strategic Exploration and Fast Reward Transfer von Liu, Evan Zheran, Keramati, Ramtin, Seshadri, Sudarshan, Guu, Kelvin, Pasupat, Panupong, Brunskill, Emma, Liang, Percy

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An Imitation Learning Approach for Cache Replacement von Liu, Evan Zheran, Hashemi, Milad, Swersky, Kevin, Ranganathan, Parthasarathy, Ahn, Junwhan

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Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices von Liu, Evan Zheran, Raghunathan, Aditi, Liang, Percy, Finn, Chelsea

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Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning von Liu, Evan Zheran, Suri, Sahaana, Tong, Mu, Zhou, Allan, Finn, Chelsea

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From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood von Guu, Kelvin, Pasupat, Panupong, Liu, Evan Zheran, Liang, Percy

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Learning Options via Compression von Jiang, Yiding, Liu, Evan Zheran, Eysenbach, Benjamin, Kolter, Zico, Finn, Chelsea

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Giving Feedback on Interactive Student Programs with Meta-Exploration von Liu, Evan Zheran, Moritz, Stephan, Nie, Allen, Piech, Chris, Brunskill, Emma, Finn, Chelsea

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Mapping Natural Language Commands to Web Elements von Pasupat, Panupong, Jiang, Tian-Shun, Liu, Evan Zheran, Guu, Kelvin, Liang, Percy

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Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration von Liu, Evan Zheran, Guu, Kelvin, Pasupat, Panupong, Shi, Tianlin, Liang, Percy

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Analyzing a Caching Model von Sixt, Leon, Liu, Evan Zheran, Pellat, Marie, Wexler, James, Hashemi, Milad, Been, Kim, Maas, Martin

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