Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have made a significant discovery regarding ...

Abstract: During emergency response in high-speed railway operations, dispatchers and drivers currently rely on individual experience for decision making, lacking effective coordination between train ...

Black holes are among the most extreme objects in the universe, and now scientists can model them more accurately than ever before. By combining Einstein’s gravity with realistic behavior of light and ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...