Nicolas Perrin-Gilbert

25 papers A 4Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Variance-Reduced Model Predictive Path Integral via Quadratic Model Approximation. CoRR Fabian Schramm, Franki Nguimatsia Tiofack, Nicolas Perrin-Gilbert, Marc Toussaint, Justin Carpentier
2025	J	`jnl`	First-order Sobolev Reinforcement Learning. CoRR Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier
2025	J	`jnl`	Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning. CoRR Franki Nguimatsia Tiofack, Théotime Le Hellard, Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier
2025	A	`conf`	Learning to Explore when Mistakes are Not Allowed. AAMAS Charly Pecqueux-Guézénec, Stéphane Doncieux, Nicolas Perrin-Gilbert
2025	J	`jnl`	Learning to explore when mistakes are not allowed. CoRR Charly Pecqueux-Guézénec, Stéphane Doncieux, Nicolas Perrin-Gilbert
2025	—	`conf`	Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration. Humanoids Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
2025	J	`jnl`	Reference-Free Sampling-Based Model Predictive Control. CoRR Fabian Schramm, Pierre Fabre, Nicolas Perrin-Gilbert, Justin Carpentier
2024	J	`jnl`	AFU: Actor-Free critic Updates in off-policy RL for continuous control. CoRR Nicolas Perrin-Gilbert
2024	—	`book`	Ingredients for Motion Planning-powered Reinforcement Learning. (Ingrédients pour l'apprentissage par renforcement combiné à la planification de mouvement). Nicolas Perrin-Gilbert
2024	J	`jnl`	Single-Reset Divide & Conquer Imitation Learning. CoRR Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
2024	J	`jnl`	Γ-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data. CoRR Jason Z. Kim, Nicolas Perrin-Gilbert, Erkan Narmanli, Paul Klein, Christopher R. Myers, Itai Cohen, Joshua J. Waterfall, James P. Sethna
2023	J	`jnl`	A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. CoRR Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci
2023	—	`conf`	Layered Controller Synthesis for Dynamic Multi-agent Systems. FORMATS Emily Clement, Nicolas Perrin-Gilbert, Philipp Schlehuber-Caissier
2023	J	`jnl`	Layered controller synthesis for dynamic multi-agent systems. CoRR Emily Clement, Nicolas Perrin-Gilbert, Philipp Schlehuber-Caissier
2023	A	`conf`	The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
2023	J	`jnl`	The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
2022	J	`jnl`	Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert
2022	A	`conf`	Diversity policy gradient for sample efficient quality-diversity optimization. GECCO Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
2022	A	`conf`	Divide & Conquer Imitation Learning. IROS Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud
2022	J	`jnl`	Divide & Conquer Imitation Learning. CoRR Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud
2022	J	`jnl`	Exploratory State Representation Learning. Frontiers Robotics AI Astrid Merckling, Nicolas Perrin-Gilbert, Alexandre Coninx, Stéphane Doncieux
2022	J	`jnl`	Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration. CoRR Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
2021	J	`jnl`	Exploratory State Representation Learning. CoRR Astrid Merckling, Nicolas Perrin-Gilbert, Alexandre Coninx, Stéphane Doncieux
2021	—	`conf`	First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. ICANN (2) Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud
2021	J	`jnl`	Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms. CoRR Alexandre Chenu, Nicolas Perrin-Gilbert, Stéphane Doncieux, Olivier Sigaud