Enhancing Reinforcement Learning Agents with Local Guides. - Paul Daoudi; Bogdan Robu; Christophe Prieur 001; Ludovic Dos Santos; Merwan Barlier (AAMAS, 2023)

Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation. - Paul Daoudi; Mathias Formoso; Othman Gaizi; Achraf Azize; Evrard Garcelon (CoRR, 2023)

A Trust Region Approach for Few-Shot Sim-to-Real Reinforcement Learning. - Paul Daoudi; Christophe Prieur 001; Bogdan Robu; Merwan Barlier; Ludovic Dos Santos (CoRR, 2023)

Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark. - Paul Daoudi; Bojan Mavkov; Bogdan Robu; Christophe Prieur 001; Emmanuel Witrant; Merwan Barlier; Ludovic Dos Santos (CCTA, 2024)

A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning. - Paul Daoudi; Christophe Prieur 001; Bogdan Robu; Merwan Barlier; Ludovic Dos Santos (IJCAI, 2024)