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learning
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keywords:(learning)
WalkAbout – A net-based interactive multiuser 3D-environment for enhanced and engaging learning
A review of deep learning methods and applications for unmanned aerial vehicles
Reinforcement learning for robot control using probability density estimations
IMPLEMENTATION OF MOBILE VIRTUAL LABORATORY: CONTRIBUTORY FACTORS IN A DEVELOPING COUNTRY
Learning physical intuition for robotic manipulation
FRAMH: A Federated Learning Risk-Based Authorization Middleware for Healthcare
Preceding vehicle following algorithm with human driving characteristics
Vehicle Detection Method Based on ADE-YOLOV3 Algorithm
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Input-Decoupled Q-Learning for Optimal Control
Input-Decoupled Q-Learning for Optimal Control
Construction of A Mobile Learning Environment Based on Complex Network
Pragmatic Frames for Teaching and Learning in Human-Robot interaction: Review and Challenges
CT-DQN: Control-Tutored Deep Reinforcement Learning
Deep Reinforcement Learning basierte Leistungsmanagementstrategie in 12 V-Bordnetzen
Self-supervised learning of primitive-based robotic manipulation
Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning
Unlabeled scene adaptive crowd counting via meta-ensemble learning
AI-based Parameter Optimization Method
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen
Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen
Speeding Up Optimization-based Motion Planning through Deep Learning
Instance segmentation and 3D multi-object tracking for autonomous driving
Adaptive human-robot policy blending for shared control teleoperation
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
A deep learning based traffic crash severity prediction framework
Recent advances and prospects in hypersonic inlet design and intelligent optimization
Autonomous situation awareness through threat data integration
Should I Trust my Teammates? An experiment in Heuristic Multiagent Reinforcement Learning
Transferability improvement in short-term traffic prediction using stacked LSTM network
A Reinforcement Learning Approach to Predictive Control Design: Autonomous Vehicle Applications
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Benchmarking deep reinforcement learning for continous control
Teaching College Classes with Virtual Reality
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion