Abstract: Connected and automated vehicles (CAVs) have emerged as a potential solution to the future challenges of developing safe, efficient, and eco-friendly transportation systems. However, CAV ...
Abstract: Reinforcement learning has increasingly showcased its potential in decision-making for the autonomous operation of urban rail transit. However, the inability of reinforcement learning to ...
Advances in reinforcement learning, dynamic difficulty adjustment, and procedural content are enabling NPCs to learn from player actions, remember past encounters, and adapt strategies. Studies show ...
Unitree Robotics has unveiled a striking demonstration of its G1 humanoid robot performing roller- and ice-skating maneuvers, ...
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