Review of SOMLab Research Achievements: Lyapunov-Based Inverse Reinforcement Learning for Vehicle-Following Traffic Scenarios

Review of SOMLab Research Achievements: Lyapunov-Based Inverse Reinforcement Learning for Vehicle-Following Traffic Scenarios

Authors: Zhao Xinshi, Liu Di, Yang Kang, Simone Baldi Affiliations: Technical University of Munich, Imperial College London, Southeast University Article Status: Officially published in IEEE ITSC 2024 Article Link: https://doi.org/10.1109/ITSC58415.2024.10919731 Lyapunov-Based Inverse Reinforcement Learning for Vehicle-Following Traffic Scenarios 1 Introduction In the field of Intelligent Transportation Systems (ITS), understanding and simulating human driving behavior is … Read more