Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach
A data-driven decision support system for service completion prediction in last mile logistics
Towards efficient airline disruption recovery with reinforcement learning
Neural network based feedback optimal control for pinpoint landers under disturbances
Blade sequencing optimization of aero-engine based on deep reinforcement learning
Ineffective built environment interventions: How to reduce driving in American suburbs?
Exploring bias in incident investigations: An empirical examination using construction case studies
Ionospheric foF2 nowcast based on a machine learning GWO-ALSTM model
The impacts of visual street environments on obesity: The mediating role of walking behaviors
Accelerating reliability-based topology optimization via gradient online learning and prediction