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Fahrerintentionserkennung zur lichtbasierten Kommunikation mit Fußgängern
WalkAbout – A net-based interactive multiuser 3D-environment for enhanced and engaging learning
IMPLEMENTATION OF MOBILE VIRTUAL LABORATORY: CONTRIBUTORY FACTORS IN A DEVELOPING COUNTRY
Transferability improvement in short-term traffic prediction using stacked LSTM network
A deep learning based traffic crash severity prediction framework
Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation
Vehicle Detection Method Based on ADE-YOLOV3 Algorithm
Preceding vehicle following algorithm with human driving characteristics
Gait Reconstruction from Motion Artefact Corrupted Fabric-Embedded Sensors
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
Construction of A Mobile Learning Environment Based on Complex Network
Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles
Adaptive human-robot policy blending for shared control teleoperation
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Arbeitsplatznahes Lernen mit Augmented Reality
Static Targets Recognition and Tracking Based on Millimeter Wave Radar
Verhaltensentscheidung für automatisierte Fahrzeuge mittels Arbitrationsgraphen
Should I Trust my Teammates? An experiment in Heuristic Multiagent Reinforcement Learning
A Reinforcement Learning Approach to Predictive Control Design: Autonomous Vehicle Applications
Benchmarking deep reinforcement learning for continous control
Comparison of benchmarking algorithms in Prosthesis
Adaptive fuzzy control of satellite attitude by reinforcement learning
Continual Reinforcement Learning in 3D Non-stationary Environments
Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
Learning and generalizing behaviors for robots from human demonstration
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
OrthographicNet:A Deep Transfer Learning Approach for 3-D Object Recognition in Open-Ended Domains
Learning efficient haptic shape exploration with a rigid tactile sensor array
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Learning physical intuition for robotic manipulation
Odor supported place cell model and goal navigation in rodents
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
ReCoCo: Reinforcement learning-based Congestion control for Real-time applications
A DOBOT manipulator simulation environment for teaching aim with forward and inverse kinematics
Input-Decoupled Q-Learning for Optimal Control
Input-Decoupled Q-Learning for Optimal Control