Nicolas Perrin-Gilbert

According to our database, Nicolas Perrin-Gilbert authored at least 45 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AFU: Actor-Free critic Updates in off-policy RL for continuous control.

Nicolas Perrin-Gilbert

CoRR, 2024

Γ-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data.

Jason Z. Kim, Nicolas Perrin-Gilbert, Erkan Narmanli, Paul Klein, Christopher R. Myers, Itai Cohen, Joshua J. Waterfall, James P. Sethna

CoRR, 2024

Single-Reset Divide & Conquer Imitation Learning.

Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert

CoRR, 2024

2023

A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents.

Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci

CoRR, 2023

The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers.

Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Layered Controller Synthesis for Dynamic Multi-agent Systems.

Emily Clement, Nicolas Perrin-Gilbert, Philipp Schlehuber-Caissier

Proceedings of the Formal Modeling and Analysis of Timed Systems, 2023

2022

Exploratory State Representation Learning.

Astrid Merckling, Nicolas Perrin-Gilbert, Alexandre Coninx, Stéphane Doncieux

Frontiers Robotics AI, 2022

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems.

Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert

CoRR, 2022

Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration.

Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert

CoRR, 2022

Divide & Conquer Imitation Learning.

Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Diversity policy gradient for sample efficient quality-diversity optimization.

Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework.

Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms.

Alexandre Chenu, Nicolas Perrin, Stéphane Doncieux, Olivier Sigaud

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Learning Compositional Neural Programs for Continuous Control.

Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas

CoRR, 2020

QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning.

Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud

CoRR, 2020

State Representation Learning from Demonstration.

Astrid Merckling, Alexandre Coninx, Loic Cressot, Stéphane Doncieux, Nicolas Perrin

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards.

Guillaume Matheron, Nicolas Perrin, Olivier Sigaud

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning.

Guillaume Matheron, Nicolas Perrin, Olivier Sigaud

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

The problem with DDPG: understanding failures in deterministic environments with sparse rewards.

Guillaume Matheron, Nicolas Perrin, Olivier Sigaud

CoRR, 2019

Learning Compositional Neural Programs with Recursive Tree Search and Planning.

Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription.

Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud

Frontiers Neurorobotics, 2018

Importance mixing: Improving sample reuse in evolutionary policy search methods.

Aloïs Pourchot, Nicolas Perrin, Olivier Sigaud

CoRR, 2018

Computing regions of stabilizability for nonlinear control systems with input constraints.

Philipp Schlehuber-Caissier, Nicolas Perrin

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Continuous Legged Locomotion Planning.

Nicolas Perrin, Christian Ott, Johannes Englsberger, Olivier Stasse, Florent Lamiraux, Darwin G. Caldwell

IEEE Trans. Robotics, 2017

Timed-automata abstraction of switched dynamical systems using control invariants.

Patricia Bouyer, Nicolas Markey, Nicolas Perrin, Philipp Schlehuber-Caissier

Real Time Syst., 2017

2016

Fast diffeomorphic matching to learn globally asymptotically stable nonlinear dynamical systems.

Nicolas Perrin, Philipp Schlehuber-Caissier

Syst. Control. Lett., 2016

2015

Effective Generation of Dynamically Balanced Locomotion with Multiple Non-coplanar Contacts.

Nicolas Perrin, Darwin Lau, Vincent Padois

Proceedings of the Robotics Research, 2015

Timed-Automata Abstraction of Switched Dynamical Systems Using Control Funnels.

Patricia Bouyer, Nicolas Markey, Nicolas Perrin, Philipp Schlehuber-Caissier

Proceedings of the Formal Modeling and Analysis of Timed Systems, 2015

2014

Lyapunov Stability Margins for humanoid robot balancing.

Emmanouil Spyrakos-Papastavridis, Nicolas Perrin, Nikos G. Tsagarakis, Jian S. Dai, Darwin G. Caldwell

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Dynamically transitioning between surfaces of varying inclinations to achieve uneven-terrain walking.

Luca Colasanto, Nicolas Perrin, Nikos G. Tsagarakis, Darwin G. Caldwell

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Humanoid motion generation and swept volumes: theoretical bounds for safe steps.

Nicolas Perrin, Olivier Stasse, Florent Lamiraux, Eiichi Yoshida

Adv. Robotics, 2013

Compliant attitude control and stepping strategy for balance recovery with the humanoid COMAN.

Nicolas Perrin, Nikolaos G. Tsagarakis, Darwin G. Caldwell

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012

Fast Humanoid Robot Collision-Free Footstep Planning Using Swept Volume Approximations.

Nicolas Perrin, Olivier Stasse, Leo Baudouin, Florent Lamiraux, Eiichi Yoshida

IEEE Trans. Robotics, 2012

From Discrete to Continuous Motion Planning.

Nicolas Perrin

Proceedings of the Algorithmic Foundations of Robotics X, 2012

Real-time footstep planning for humanoid robots among 3D obstacles using a hybrid bounding box.

Nicolas Perrin, Olivier Stasse, Florent Lamiraux, Young J. Kim, Dinesh Manocha

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

LMPC based online generation of more efficient walking motions.

Andrei Herdt, Nicolas Perrin, Pierre-Brice Wieber

Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011

Footstep planning for humanoid robots: discrete and continuous approaches.

Nicolas Perrin

PhD thesis, 2011

Weakly collision-free paths for continuous humanoid footstep planning.

Nicolas Perrin, Olivier Stasse, Florent Lamiraux, Eiichi Yoshida

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

A biped walking pattern generator based on "half-steps" for dimensionality reduction.

Nicolas Perrin, Olivier Stasse, Florent Lamiraux, Eiichi Yoshida

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Real-time replanning using 3D environment for humanoid robot.

Leo Baudouin, Nicolas Perrin, Thomas Moulard, Florent Lamiraux, Olivier Stasse, Eiichi Yoshida

Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

2010

Walking without thinking about it.

Andrei Herdt, Nicolas Perrin, Pierre-Brice Wieber

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Approximation of feasibility tests for reactive walk on HRP-2.

Nicolas Perrin, Olivier Stasse, Florent Lamiraux, Eiichi Yoshida

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Fast foot prints re-planning and motion generation during walking in physical human-humanoid interaction.

Olivier Stasse, Paul Evrard, Nicolas Perrin, Nicolas Mansard, Abderrahmane Kheddar

Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

2008

Visibly Tree Automata with Memory and Constraints.

Hubert Comon-Lundh, Florent Jacquemard, Nicolas Perrin

Log. Methods Comput. Sci., 2008

2007

Tree Automata with Memory, Visibility and Structural Constraints.

Hubert Comon-Lundh, Florent Jacquemard, Nicolas Perrin

Proceedings of the Foundations of Software Science and Computational Structures, 2007