Publications

EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning

Bibek Poudel, Weizi Li, Kevin Heaslip
IROS 2024
arXiv | Video | Code

AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning

Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, Weizi Li
IROS 2024
arXiv | Video | Code

CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control

Bibek Poudel, Shuai Li, Weizi Li
IEEE CYBER 2024
arXiv | Code

Mixed Traffic Control and Coordination from Pixels

Michael Villarreal, Bibek Poudel, Jia Pan, Weizi Li
ICRA 2024
Paper | arXiv | Video | Code

Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning

Michael Villarreal, Bibek Poudel, Weizi Li
ITSC 2023
Paper | arXiv | Code

Efficient Quality-Diversity Optimization through Diverse Quality Species

Ryan Wickman, Bibek Poudel, Michael Villarreal, Xiaofei Zhang, and Weizi Li
GECCO 2023
Paper | arXiv | Code

Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning

Bibek Poudel, Thomas Watson, and Weizi Li
ITSC 2022
Paper | arXiv | Video | Code

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models

Bibek Poudel and Weizi Li
ITSC 2021
Paper | arXiv | Video | Code