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
Intelligent Traffic Control by Multi-agent Cooperative Q Learning (MCQL)
Traffic Lights Control Using Reinforcement Learning: A Comparative Study
Maritime Vessel Detection and Classification in Harbor Environment Using Deep Learning
A Cooperative Multiagent Approach for Optimal Drone Deployment Using Reinforcement Learning
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
Service Learning: A Proposal for the Maker Approach
Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques
Analyzing Motivation Within Virtual Learning Environments: A Systematic Literature Review
Flight Arrival Delay Prediction Using Supervised Machine Learning Algorithms
Cyborgs’ collaborative writing in Virtual Learning Environments
Enhancing Virtual Learning Spaces: the impact of the Gaming Analytics
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
Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron
Training Issues for Remotely Piloted Aircraft Systems from a Human Systems Integration Perspective
Artificial Stupidity in Robotics: Something Unwanted or Somehow Useful?
Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings
Object Detection and Pattern Analysis in an Autonomous Car
A Reinforcement Learning Based Adaptive Traffic Signal Control for Vehicular Networks
A Study on Web2.0 Blending Learning
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods
Modeling Human Motor Skills to Enhance Robots’ Physical Interaction
Augmented reality and mobile learning in a Smart Urban Park: pupils’ Perceptions of the EduPARK Game
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
Traffic Signal Switching Strategy Based on Reinforcement Learning Algorithm