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learn2learn: A Library for Meta-Learning Research

Aug 28, 2020
Sébastien M. R. Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner, Konstantinos Saitas Zarkias

* Software available at: https://github.com/learnables/learn2learn 

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Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning

Oct 30, 2019
Sébastien M. R. Arnold, Shariq Iqbal, Fei Sha

* Submitted to ICLR19 

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Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator

Oct 02, 2019
James A. Preiss, Sébastien M. R. Arnold, Chen-Yu Wei, Marius Kloft

* Accepted at NeurIPS 2019 Workshop on Optimization Foundations for Reinforcement Learning. 7 pages + 6 pages appendix 

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Reducing the variance in online optimization by transporting past gradients

Jun 18, 2019
Sébastien M. R. Arnold, Pierre-Antoine Manzagol, Reza Babanezhad, Ioannis Mitliagkas, Nicolas Le Roux

* Open-source implementation available at: https://github.com/seba-1511/igt.pth 

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Shapechanger: Environments for Transfer Learning

Sep 15, 2017
Sébastien M. R. Arnold, Tsam Kiu Pun, Théo-Tim J. Denisart, Francisco J. Valero-Cuevas

* Presented at the SoCal 2017 Robotics Symposium 

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Accelerating SGD for Distributed Deep-Learning Using Approximated Hessian Matrix

Sep 15, 2017
Sébastien M. R. Arnold, Chunming Wang

* ICLR17 Workshop Track 

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