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
Making to Learn. The Pedagogical Implications of Making in a Digital Binary World
Reference-Free Learning Bipedal Motor Skills via Assistive Force Curricula
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques
Service Learning: A Proposal for the Maker Approach
Flight Arrival Delay Prediction Using Supervised Machine Learning Algorithms
Analyzing Motivation Within Virtual Learning Environments: A Systematic Literature Review
Emergency Vehicle Detection Using Deep Convolutional Neural Network
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies
Brief Review of Reinforcement Learning Control for Cable-Driven Parallel Robots
Learning Energy-Efficient Trotting for Legged Robots
A Review on Behavioural Biometric GAIT Recognition
Artificial Stupidity in Robotics: Something Unwanted or Somehow Useful?
Autonomous maneuver strategy of swarm air combat based on DDPG
A Reinforcement Learning Based Adaptive Traffic Signal Control for Vehicular Networks
Object Detection and Pattern Analysis in an Autonomous Car
A Study on Web2.0 Blending Learning
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Machine Learning in Automotive Data Potential, Analytics Power
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Modeling Human Motor Skills to Enhance Robots’ Physical Interaction
Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
Multi-agent reinforcement learning for autonomous vehicles: a survey
Traffic Signal Switching Strategy Based on Reinforcement Learning Algorithm
Anwendung des Gesamtkonzeptes am Beispiel des Karosseriebaus
Driver Drowsiness Detection for Road Safety Using Deep Learning
Towards Ontology-Guided Learning for Shepherding
In-Hand Manipulation of Unseen Objects Through 3D Vision