Mikael Henaff

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 27

Top Topics

Intrinsic Motivation

Reinforcement Learning

Partially Observable Domains

Top Venues

Publications

Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. ICLR (2024)
Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
Generalization to New Sequential Decision Making Tasks with In-Context Learning. CoRR (2023)
Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. CoRR (2023)
Mikael Henaff, Minqi Jiang, Roberta Raileanu
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. CoRR (2023)
Mikael Henaff, Minqi Jiang, Roberta Raileanu
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. ICML (2023)
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. ICML (2023)
Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
Exploration via Elliptical Episodic Bonuses. NeurIPS (2022)
Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
Exploration via Elliptical Episodic Bonuses. CoRR (2022)
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. CoRR (2022)
Alekh Agarwal, Mikael Henaff, Sham M. Kakade, Wen Sun
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning. CoRR (2020)
Kianté Brantley, Wen Sun, Mikael Henaff
Disagreement-Regularized Imitation Learning. ICLR (2020)
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. ICML (2020)
Alekh Agarwal, Mikael Henaff, Sham M. Kakade, Wen Sun
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning. NeurIPS (2020)
Mikael Henaff, Alfredo Canziani, Yann LeCun
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. CoRR (2019)
Mikael Henaff
Explicit Explore-Exploit Algorithms in Continuous State Spaces. CoRR (2019)
Mikael Henaff, Alfredo Canziani, Yann LeCun
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. ICLR (Poster) (2019)
Mikael Henaff
Explicit Explore-Exploit Algorithms in Continuous State Spaces. NeurIPS (2019)
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. CoRR (2019)
Mikael Henaff, Junbo Jake Zhao, Yann LeCun
Prediction Under Uncertainty with Error-Encoding Networks. CoRR (2017)
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun
Tracking the World State with Recurrent Entity Networks. ICLR (Poster) (2017)
Mikael Henaff, William F. Whitney, Yann LeCun
Model-Based Planning in Discrete Action Spaces. CoRR (2017)
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun
Tracking the World State with Recurrent Entity Networks. CoRR (2016)
Mikael Henaff, Arthur Szlam, Yann LeCun
Recurrent Orthogonal Networks and Long-Memory Tasks. ICML (2016)
Mikael Henaff, Arthur Szlam, Yann LeCun
Orthogonal RNNs and Long-Memory Tasks. CoRR (2016)
Mikael Henaff, Joan Bruna, Yann LeCun
Deep Convolutional Networks on Graph-Structured Data. CoRR (2015)
Alexander R. Statnikov, Sisi Ma, Mikael Henaff, Nikita I. Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery. J. Mach. Learn. Res. 16 (2015)
Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
The Loss Surfaces of Multilayer Networks. AISTATS (2015)
Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
The Loss Surface of Multilayer Networks. CoRR (2014)
Michaël Mathieu, Mikael Henaff, Yann LeCun
Fast Training of Convolutional Networks through FFTs. ICLR (Poster) (2014)
Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu, Yann LeCun
Unsupervised Learning of Sparse Features for Scalable Audio Classification. ISMIR (2011)