Lichtlé, Nathan

2 publications

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