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
Reference-Free Learning Bipedal Motor Skills via Assistive Force Curricula
Analyzing Motivation Within Virtual Learning Environments: A Systematic Literature Review
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Service Learning: A Proposal for the Maker Approach
Flight Arrival Delay Prediction Using Supervised Machine Learning Algorithms
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies
Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques