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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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