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PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning


Aug 13, 2020
Alekh Agarwal, Mikael Henaff, Sham Kakade, Wen Sun


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Explicit Explore-Exploit Algorithms in Continuous State Spaces


Dec 02, 2019
Mikael Henaff


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Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning


Nov 13, 2019
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford


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Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic


Jan 08, 2019
Mikael Henaff, Alfredo Canziani, Yann LeCun


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Model-Based Planning with Discrete and Continuous Actions


Apr 04, 2018
Mikael Henaff, William F. Whitney, Yann LeCun


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Prediction Under Uncertainty with Error-Encoding Networks


Nov 30, 2017
Mikael Henaff, Junbo Zhao, Yann LeCun


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Tracking the World State with Recurrent Entity Networks


May 10, 2017
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun

* ICLR 2017 

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Recurrent Orthogonal Networks and Long-Memory Tasks


Mar 15, 2017
Mikael Henaff, Arthur Szlam, Yann LeCun


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Deep Convolutional Networks on Graph-Structured Data


Jun 16, 2015
Mikael Henaff, Joan Bruna, Yann LeCun


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The Loss Surfaces of Multilayer Networks


Jan 21, 2015
Anna Choromanska, Mikael Henaff, Michael Mathieu, Gérard Ben Arous, Yann LeCun


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Fast Training of Convolutional Networks through FFTs


Mar 06, 2014
Michael Mathieu, Mikael Henaff, Yann LeCun


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