Scholar
Justin Carpentier
Google Scholar ID: CyhIdmMAAAAJ
Research Scientist, Inria - École Normale Supérieure, Paris
Optimal Control
Simulation
Numerical Optimization
Robotics
Reinforcement Learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
4,116
H-index
29
i10-index
51
Publications
20
Co-authors
109
list available
Contact
Email
justin.carpentier@inria.fr
GitHub
Open ↗
LinkedIn
Open ↗
Publications
20 items
OTRetarget: Joint Robot and Object Motion Retargeting via Optimal Transport
2026
Cited
0
Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
2026
Cited
0
Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning
2026
Cited
0
Survival Reinforcement Learning: Toward Scalable Self-Supervised RL
2026
Cited
0
Accelerating trajectory optimization with Sobolev-trained diffusion policies
2026
Cited
0
SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
2026
Cited
0
Constrained Sampling to Guide Universal Manipulation RL
2026
Cited
0
Variance-Reduced Model Predictive Path Integral via Quadratic Model Approximation
2026
Cited
0
Load more
Co-authors
10 total
Nicolas Mansard
LAAS-CNRS, ANITI
Josef Sivic
Czech Technical University, CIIRC, ELLIS Unit Prague
Ludovic Righetti
New York University and Artificial and Natural Intelligence Toulouse Institute
Ivan Laptev
Professor at MBZUAI, on leave from INRIA
Philippe Souères
Directeur de recherche LAAS-CNRS, Univ. of Toulouse
Mathieu Aubry
Researcher, ENPC, LIGM-Imagine
Yann Labbé
Research Scientist
Florent Lamiraux
LAAS-CNRS, Université de Toulouse
