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Brandon Amos

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Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Oct 02, 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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Depth-Limited Solving for Imperfect-Information Games

May 21, 2018
Noam Brown, Tuomas Sandholm, Brandon Amos

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Learning Awareness Models

Apr 17, 2018
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gómez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil

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Task-based End-to-end Model Learning in Stochastic Optimization

Apr 03, 2018
Priya L. Donti, Brandon Amos, J. Zico Kolter

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OptNet: Differentiable Optimization as a Layer in Neural Networks

Jan 12, 2018
Brandon Amos, J. Zico Kolter

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Input Convex Neural Networks

Jun 14, 2017
Brandon Amos, Lei Xu, J. Zico Kolter

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