Miao, Yingjie

8 publications

ICMLW 2023 Guided Evolution with Binary Predictors for ML Program Search John D Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real

NeurIPSW 2023 Scaling Offline Q-Learning with Vision Transformers Yingjie Miao, Jordi Orbay, Rishabh Agarwal, Aviral Kumar, George Tucker, Aleksandra Faust

ICLRW 2023 Understanding HTML with Large Language Models Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust

JAIR 2022 Automated Reinforcement Learning (AutoRL): A Survey and Open Problems 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

AutoML 2022 Differentiable Architecture Search for Reinforcement Learning Yingjie Miao, Xingyou Song, John D Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust

ICLRW 2022 Multi-Objective Evolution for Generalizable Policy Gradient Algorithms Juan Jose Garau-Luis, Yingjie Miao, John D Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

NeurIPS 2021 Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust

ICLR 2021 Evolving Reinforcement Learning Algorithms John D Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V Le, Sergey Levine, Honglak Lee, Aleksandra Faust