Lichtlé, Nathan

4 publications

ICLR 2026 (U)NFV: (Un)Supervised Neural Finite Volume Methods for Solving Hyperbolic PDEs Nathan Lichtlé, Alexi Canesse, Zhe Fu, Hossein Nick Zinat Matin, Maria Laura Delle Monache, Alexandre M Bayen

ICLR 2026 Reevaluating Policy Gradient Methods for Imperfect-Information Games Max Rudolph, Nathan Lichtlé, Sobhan Mohammadpour, Alexandre M Bayen, J Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota

NeurIPSW 2023 Reinforcement Learning in Control Theory: A New Approach to Mathematical Problem Solving Kala Agbo Bidi, Jean-Michel Coron, Amaury Hayat, Nathan Lichtlé

NeurIPS 2022 Nocturne: A Scalable Driving Benchmark for Bringing Multi-Agent Learning One Step Closer to the Real World Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob Foerster