Fast Approximate Clearance Evaluation for Kinematically Constrained Articulated Suspension Systems. - Kyohei Otsu; Guillaume Matheron; Sourish Ghosh; Olivier Toupet; Masahiro Ono (CoRR, 2018)

The problem with DDPG: understanding failures in deterministic environments with sparse rewards. - Guillaume Matheron; Nicolas Perrin 001; Olivier Sigaud (CoRR, 2019)

PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning. - Guillaume Matheron; Nicolas Perrin 001; Olivier Sigaud (ICANN (2), 2020)

Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards. - Guillaume Matheron; Nicolas Perrin 001; Olivier Sigaud (ICANN (2), 2020)

Fast approximate clearance evaluation for rovers with articulated suspension systems. - Kyohei Otsu; Guillaume Matheron; Sourish Ghosh; Olivier Toupet; Masahiro Ono (J. Field Robotics, 2020)

Integrating motion planning into reinforcement learning to solve hard exploration problems. (Intégrer planification de mouvement et apprentissage par renforcement pour résoudre des problèmes difficiles d'exploration). - Guillaume Matheron (2020)

Domain Knowledge Aids in Signal Disaggregation; the Example of the Cumulative Water Heater. - Alexander Belikov 003; Guillaume Matheron; Johan Sassi (CoRR, 2022)

Occupancy Detection Based on Electricity Consumption. - Thomas Brilland; Guillaume Matheron; Laetitia Leduc; Yukihide Nakada (CoRR, 2023)