Survey of machine learning techniques in spacecraft control design
Adaptive guidance and integrated navigation with reinforcement meta-learning
GIS-based ensemble soft computing models for landslide susceptibility mapping
Reinforcement learning approach for train rescheduling on a single-track railway
Robotic Mission to Mars: Hands-on, minds-on, web-based learning
Enhancing discrete choice models with representation learning
Predicting cycle-level traffic movements at signalized intersections using machine learning models
A gradient boosting method to improve travel time prediction
Propulsionless planar phasing of multiple satellites using deep reinforcement learning
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
A deep learning based traffic crash severity prediction framework
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
Transferability improvement in short-term traffic prediction using stacked LSTM network