A batch reinforcement learning approach to vacant taxi routing
A Bayesian approach to traffic estimation in stochastic user equilibrium networks
Accident prediction models with random corridor parameters
A Comparative Study of Energy Minimization Methods for Markov Random Fields
A competing Markov model for cracking prediction on civil structures
Activity-based TOD typology for seoul transit station areas using smart-card data
Actor-Critic reinforcement learning for optimal design of piping support constraint combinations
A cumulative risk and sustainability index for pavements
Adaptable Data Download Schedules for Agile Earth-Observing Satellites
Adaptive Discretization Using Voronoi Trees for Continuous-Action POMDPs