no code implementations • 10 Mar 2023 • Marc Baltes, Nidal Abujahar, Ye Yue, Charles D. Smith, Jundong Liu
The field of machine learning has been greatly transformed with the advancement of deep artificial neural networks (ANNs) and the increased availability of annotated data.
no code implementations • 14 Feb 2023 • Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu
Over the past decade, artificial neural networks (ANNs) have made tremendous advances, in part due to the increased availability of annotated data.
no code implementations • 12 Oct 2022 • Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu
In this work, we proposed several novel agent state and reward function designs to tackle two critical issues in DRL-based navigation solutions: 1) smoothness of the trained flight trajectories; and 2) model generalization to handle unseen environments.