PAC-learning gains of Turing machines over circuits and neural networks. - Brieuc Pinon; Jean-Charles Delvenne; Raphaël M. Jungers (CoRR, 2021)

A model-based approach to meta-Reinforcement Learning: Transformers and tree search. - Brieuc Pinon; Raphaël M. Jungers; Jean-Charles Delvenne (ESANN, 2023)

Efficiency Separation between RL Methods: Model-Free, Model-Based and Goal-Conditioned. - Brieuc Pinon; Raphaël M. Jungers; Jean-Charles Delvenne (CoRR, 2023)

A limitation on black-box dynamics approaches to Reinforcement Learning. - Brieuc Pinon; Raphaël M. Jungers; Jean-Charles Delvenne (Trans. Mach. Learn. Res., 2025)

Theoretical Barriers in Bellman-Based Reinforcement Learning. - Brieuc Pinon; Raphaël M. Jungers; Jean-Charles Delvenne (CoRR, 2025)