A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets
Modelling intra-household interactions in household’s activity-travel scheduling behaviour
Maneuvering penetration strategies of ballistic missiles based on deep reinforcement learning
A POMDP approach for scheduling the usage of airborne electronic countermeasures in air operations
Optimal switching policy between driving entities in semi-autonomous vehicles
Optimal solution for a cargo revenue management problem with allotment and spot arrivals
A batch reinforcement learning approach to vacant taxi routing