IEEE

Keeping Pilots in the Loop: An Explainable Spatiotemporal EEG-Driven Deep Learning Framework for Adaptive Automation in Cruising Flight Phase

Abstract: Automation has been extensively used in flight operations, so pilots are less involved in actual flight control. With the long idle time during cruising, pilots may have their vigilance ...
IEEE

Double Entropy Reinforcement Learning: Achieving Optimal Outcomes Despite Imperfect Teacher Guidance

Abstract: Reinforcement learning (RL) has become a key method for decision-making in autonomous vehicles, particularly in tasks like path planning and obstacle avoidance. However, RL often struggles ...