Predicting the future trajectories of surrounding vehicles based on their history trajectories is
a critical task in autonomous driving. However, when small crafted perturbations are …

The growing number of cars on city roads has led to an increase in traffic accidents,
highlighting the need for traffic safety measures. Mobile trajectory anomaly detection is an …

Inverse reinforcement Learning (IRL) has emerged as a powerful paradigm for extracting
expert skills from observed behavior, with applications ranging from autonomous systems to …

For safety-critical systems such as autonomous vehicles, power systems, and robotics, it is
important to guarantee the systems operate under given safety constraints. Numerous safety …

Recent advances in deep learning have significantly propelled the development of
autonomous vehicles. However, these systems face critical challenges in system-level …

逆強化学習は目的のタスクに対して最適な行動をとるエキスパートの軌道から,
環境の報酬関数を推定する手法である. しかしながら最適な軌道を取得する際にエキスパートに …