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Unified Functional Hashing in Automatic Machine Learning


Feb 10, 2023
Ryan Gillard, Stephen Jonany, Yingjie Miao, Michael Munn, Connal de Souza, Jonathan Dungay, Chen Liang, David R. So, Quoc V. Le, Esteban Real

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Understanding HTML with Large Language Models


Oct 08, 2022
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust

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Multi-objective evolution for Generalizable Policy Gradient Algorithms


Apr 08, 2022
Juan Jose Garau-Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

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* 23 pages, 12 figures, 10 tables 

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Environment Generation for Zero-Shot Compositional Reinforcement Learning


Jan 21, 2022
Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust

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* Published in NeurIPS 2021 

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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems


Jan 11, 2022
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer

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RL-DARTS: Differentiable Architecture Search for Reinforcement Learning


Jun 04, 2021
Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust

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* 19 pages total, 17 figures 

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Evolving Reinforcement Learning Algorithms


Jan 08, 2021
John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust

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Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection


Aug 17, 2011
Yingjie Miao, Jason J. Corso

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