Mikael Henaff
17 papers · 2015–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
Learning Types
(9)
Artificial Intelligence
(8)
Reinforcement Learning
(8)
Core AI
(8)
Methods
(8)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Computer Vision
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Robotics
(1)
Analysis
(1)
Applications
(1)
Keywords
reinforcement learning
(4)
sample complexity
(3)
observational data
(2)
point cloud
(2)
sample efficiency
(2)
policy learning
(2)
exploration bonus
(2)
large language model
(2)
inverse dynamics model
(2)
semi-supervised learning
(1)
policy gradient
(1)
ensemble learning
(1)
causal discovery
(1)
function approximation
(1)
representation learning
(1)
policy optimization
(1)
imitation learning
(1)
autonomous driving
(1)
offline reinforcement learning
(1)
in-context learning
(1)
Papers
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
CVPR 2025
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
ICML 2025
MaestroMotif: Skill Design from Artificial Intelligence Feedback
ICLR 2025
Generalization to New Sequential Decision Making Tasks with In-Context Learning
ICML 2024
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
ICLR 2024
OpenEQA: Embodied Question Answering in the Era of Foundation Models
CVPR 2024
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
ICML 2023
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
ICML 2023
Exploration via Elliptical Episodic Bonuses
NeurIPS 2022
Disagreement-Regularized Imitation Learning
ICLR 2020
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
ICML 2020
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
NeurIPS 2020
Explicit Explore-Exploit Algorithms in Continuous State Spaces
NeurIPS 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
ICLR 2019
Recurrent Orthogonal Networks and Long-Memory Tasks
ICML 2016
The Loss Surfaces of Multilayer Networks
AISTATS 2015
Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery
JMLR 2015