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Graph Kernel Attention Transformers


Jul 16, 2021
Krzysztof Choromanski, Han Lin, Haoxian Chen, Jack Parker-Holder

* 18 pages, 9 figures 

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Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL


Jun 30, 2021
Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen Roberts


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Same State, Different Task: Continual Reinforcement Learning without Interference


Jun 05, 2021
Samuel Kessler, Jack Parker-Holder, Philip Ball, Stefan Zohren, Stephen J. Roberts

* 20 pages, 12 figures 

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Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment


Apr 12, 2021
Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen Roberts

* To be presented as a Spotlight at the "Self-Supervision for Reinforcement Learning Workshop" @ ICLR 2021 

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Unlocking Pixels for Reinforcement Learning via Implicit Attention


Mar 04, 2021
Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller


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Deep Reinforcement Learning with Dynamic Optimism


Feb 09, 2021
Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano, Michael Arbel


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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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Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian


Nov 12, 2020
Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob Foerster

* Camera-ready version, NeurIPS 2020 

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On Optimism in Model-Based Reinforcement Learning


Jun 21, 2020
Aldo Pacchiano, Philip Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts


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Stochastic Flows and Geometric Optimization on the Orthogonal Group


Mar 30, 2020
Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamas Sarlos, Adrian Weller, Vikas Sindhwani


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Ready Policy One: World Building Through Active Learning


Feb 07, 2020
Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts


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One-Shot Bayes Opt with Probabilistic Population Based Training


Feb 06, 2020
Jack Parker-Holder, Vu Nguyen, Stephen Roberts


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Effective Diversity in Population-Based Reinforcement Learning


Feb 03, 2020
Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts


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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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Wasserstein Reinforcement Learning


Jun 19, 2019
Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromanski, Michael I. Jordan


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Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes


May 29, 2019
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang


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Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces


Mar 12, 2019
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang


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When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies


Mar 07, 2019
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Jasmine Hsu, Atil Iscen, Deepali Jain, Vikas Sindhwani


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Compressing Deep Neural Networks: A New Hashing Pipeline Using Kac's Random Walk Matrices


Sep 26, 2018
Jack Parker-Holder, Sam Gass


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