Nicolas Perrin-Gilbert

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Controller Synthesis

High Dimensions

Imitation Learning

Partial Discharge

Top Venues

Publications

Nicolas Perrin-Gilbert
AFU: Actor-Free critic Updates in off-policy RL for continuous control. CoRR (2024)
Jason Z. Kim, Nicolas Perrin-Gilbert, Erkan Narmanli, Paul Klein, Christopher R. Myers, Itai Cohen, Joshua J. Waterfall, James P. Sethna
Γ-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data. CoRR (2024)
Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
Single-Reset Divide & Conquer Imitation Learning. CoRR (2024)
Emily Clement, Nicolas Perrin-Gilbert, Philipp Schlehuber-Caissier
Layered controller synthesis for dynamic multi-agent systems. CoRR (2023)
Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO (2023)
Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. CoRR (2023)
Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR (2023)
Emily Clement, Nicolas Perrin-Gilbert, Philipp Schlehuber-Caissier
Layered Controller Synthesis for Dynamic Multi-agent Systems. FORMATS (2023)
Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR (2022)
Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud
Divide & Conquer Imitation Learning. IROS (2022)
Astrid Merckling, Nicolas Perrin-Gilbert, Alexandre Coninx, Stéphane Doncieux
Exploratory State Representation Learning. Frontiers Robotics AI 9 (2022)
Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO (2022)
Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration. CoRR (2022)
Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud
Divide & Conquer Imitation Learning. CoRR (2022)
Alexandre Chenu, Nicolas Perrin-Gilbert, Stéphane Doncieux, Olivier Sigaud
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms. CoRR (2021)
Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud
First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. ICANN (2) (2021)
Astrid Merckling, Nicolas Perrin-Gilbert, Alexandre Coninx, Stéphane Doncieux
Exploratory State Representation Learning. CoRR (2021)