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Assessment of Pupils in Educational Robotics—Preliminary Results
Opponent modelling in the game of tron using reinforcement learning
Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks
AI-based Parameter Optimization Method
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Arbeitsplatznahes Lernen mit Augmented Reality
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
A Cooperative Multiagent Approach for Optimal Drone Deployment Using Reinforcement Learning
Making to Learn. The Pedagogical Implications of Making in a Digital Binary World
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Cyborgs’ collaborative writing in Virtual Learning Environments
Analyzing Motivation Within Virtual Learning Environments: A Systematic Literature Review
Reference-Free Learning Bipedal Motor Skills via Assistive Force Curricula
Service Learning: A Proposal for the Maker Approach
Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques
Flight Arrival Delay Prediction Using Supervised Machine Learning Algorithms
Enhancing Virtual Learning Spaces: the impact of the Gaming Analytics
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies
Emergency Vehicle Detection Using Deep Convolutional Neural Network
Training Issues for Remotely Piloted Aircraft Systems from a Human Systems Integration Perspective
Learning Energy-Efficient Trotting for Legged Robots
Brief Review of Reinforcement Learning Control for Cable-Driven Parallel Robots
A Review on Behavioural Biometric GAIT Recognition
Classification of Assembly Operations Using Recurrent Neural Networks
Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron
Object Detection and Pattern Analysis in an Autonomous Car
Artificial Stupidity in Robotics: Something Unwanted or Somehow Useful?
Evaluation of ML-Based Grasping Approaches in the Field of Automated Assembly
Web Service for Point Cloud Supported Robot Programming Using Machine Learning
Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings
A Reinforcement Learning Based Adaptive Traffic Signal Control for Vehicular Networks
Augmented reality and mobile learning in a Smart Urban Park: pupils’ Perceptions of the EduPARK Game
Bremsenknarzen im NVH-Entwicklungsprozess: Detektion, Klassifizierung und objektive Bewertung
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques