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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

* 19 pages total, 17 figures 

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Rethinking Co-design of Neural Architectures and Hardware Accelerators

Feb 17, 2021
Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

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PyGlove: Symbolic Programming for Automated Machine Learning

Jan 21, 2021
Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le

* NeurIPS 2020 Oral 

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ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning

Jan 19, 2021
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamas Sarlos, Yuxiang Yang

* 14 pages. This is an updated version of a previous submission which can be found at arXiv:1907.06511. See for associated code 

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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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Towards NNGP-guided Neural Architecture Search

Nov 11, 2020
Daniel S. Park, Jaehoon Lee, Daiyi Peng, Yuan Cao, Jascha Sohl-Dickstein

* 13 + 6 pages, 19 figures; open-source code available at 

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AutoHAS: Differentiable Hyper-parameter and Architecture Search

Jun 05, 2020
Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le

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Domain Adaptive Transfer Learning with Specialist Models

Dec 11, 2018
Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang

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