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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 https://github.com/google-research/google-research/tree/master/es_enas for associated code 

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Robotic Table Tennis with Model-Free Reinforcement Learning


Mar 31, 2020
Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly

* 8 pages, 4 figures 

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Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning


Mar 02, 2020
Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan

* For associated video file, see http://youtu.be/_QPMCDdFC3E 

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ES-MAML: Simple Hessian-Free Meta Learning


Oct 05, 2019
Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang

* 10 main pages, 21 total pages, 21 figures 

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Reinforcement Learning with Chromatic Networks


Jul 10, 2019
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamas Sarlos, Deepali Jain, Yuxiang Yang

* 10 main pages, 22 total pages 

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Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models


May 24, 2019
Yunfei Teng, Wenbo Gao, Francois Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller


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