Nathan Lichtlé

Joined

June 2022

Names

Nathan Lichtlé (Preferred)

Emails

****@berkeley.edu (Confirmed)

****@enpc.fr (Confirmed)

****@ens-paris-saclay.fr (Confirmed)

****@gmail.com (Confirmed)

****@berkeley.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Electrical Engineering & Computer Science Department, University of California, Berkeley (eecs.berkeley.edu)

2021 – 2025

PhD student

Ecole Nationale des Ponts et Chausees (enpc.fr)

2021 – 2024

MS student

Ecole Normale Superieure (ens-paris-saclay.fr)

2019 – 2021

Undergrad student

Ecole Normale Superieure (ens-paris-saclay.fr)

2017 – 2019

Advisors, Relations & Conflicts

No relations added

Expertise

reinforcement learning

Present

traffic

Present

Publications

(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
- AI&PDE Poster
- Readers: Everyone
(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 Poster
- Readers: Everyone
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
- ICLR 2026 Poster
- Readers: Everyone
Reevaluating Policy Gradient Methods for Imperfect-Information Games
Max Rudolph, Nathan Lichtlé, Sobhan Mohammadpour, Alexandre Bayen, J Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota
- CoCoMARL 2025 Oral
- Readers: Everyone
Reevaluating Policy Gradient Methods for Imperfect-Information Games
Max Rudolph, Nathan Lichtle, Sobhan Mohammadpour, Alexandre M. Bayen, J. Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota
- CoRR 2025
- Readers: Everyone
A novel approach to feedback control with deep reinforcement learning
Kala Agbo bidi, Jean-Michel Coron, Amaury Hayat, Nathan Lichtlé
- Syst. Control. Lett. 2025
- Readers: Everyone
From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers
Nathan Lichtlé, Eugene Vinitsky, Matthew Nice, Rahul Bhadani, Matthew R. Bunting, Fangyu Wu, Benedetto Piccoli, Benjamin Seibold, Daniel B. Work, Jonathan W. Lee, Jonathan Sprinkle, Alexandre M. Bayen
- IEEE Trans. Robotics 2024
- Readers: Everyone
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
Nathan Lichtlé, Kathy Jang, Adit Shah, Eugene Vinitsky, Jonathan W. Lee, Alexandre M. Bayen
- CoRR 2024
- Readers: Everyone
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi et al. (44 additional authors not shown)
- CoRR 2024
- Readers: Everyone
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test
Kathy Jang, Nathan Lichtlé, Eugene Vinitsky, Adit Shah, Matthew R. Bunting, Matthew Nice, Benedetto Piccoli, Benjamin Seibold, Daniel B. Work, Maria Laura Delle Monache, Jonathan Sprinkle, Jonathan W. Lee, Alexandre M. Bayen
- CoRR 2024
- Readers: Everyone

View all 21 publications

Co-Authors

View all 93 co-authors