Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks
AI-based Parameter Optimization Method
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Intelligent Traffic Control by Multi-agent Cooperative Q Learning (MCQL)
Traffic Lights Control Using Reinforcement Learning: A Comparative Study
An Agent-Based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles
Making to Learn. The Pedagogical Implications of Making in a Digital Binary World