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Objective Mismatch in Model-based Reinforcement Learning


Feb 11, 2020
Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra

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* 8 pages, 2 pages references, 5 pages appendices 

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Differentiable Convex Optimization Layers


Oct 28, 2019
Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, Zico Kolter

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* In NeurIPS 2019. Code available at https://www.github.com/cvxgrp/cvxpylayers. Authors in alphabetical order 

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Generalized Inner Loop Meta-Learning


Oct 07, 2019
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala

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* 17 pages, 3 figures, 1 algorithm 

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Improving Sample Efficiency in Model-Free Reinforcement Learning from Images


Oct 07, 2019
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus

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The Differentiable Cross-Entropy Method


Sep 27, 2019
Brandon Amos, Denis Yarats

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The Limited Multi-Label Projection Layer


Jun 22, 2019
Brandon Amos, Vladlen Koltun, J. Zico Kolter

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Differentiable MPC for End-to-end Planning and Control


Oct 31, 2018
Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter

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* NIPS 2018 

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