Nicolas Perrin-Gilbert

Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration

Olivier Sigaud, Alexandre Chenu, Olivier Serris, 2022, ArXiv.

Exploratory State Representation Learning

S. Doncieux, Alexandre Coninx, Nicolas Perrin-Gilbert, 2021, Frontiers in Robotics and AI.

Diversity policy gradient for sample efficient quality-diversity optimization

Antoine Cully, Olivier Sigaud, Geoffrey Cideron, 2020, GECCO.

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

Antoine Cully, Karim Beguir, Thomas Pierrot, 2022, ArXiv.

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

Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert, 2023, GECCO.

Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration

Olivier Sigaud, Alexandre Chenu, Olivier Serris, 2022, ArXiv.

Divide & Conquer Imitation Learning

Olivier Sigaud, Alexandre Chenu, Nicolas Perrin-Gilbert, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert, 2023, Annual Conference on Genetic and Evolutionary Computation.

Diversity policy gradient for sample efficient quality-diversity optimization

Antoine Cully, Olivier Sigaud, Geoffrey Cideron, 2020, GECCO.

Divide & Conquer Imitation Learning

Olivier Sigaud, Alexandre Chenu, Nicolas Perrin-Gilbert, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

Cédric Colas, V. Santucci, Olivier Sigaud, 2023, ArXiv.