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learning
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Decision making for highway complex scenario by improved safety field with learning process
A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes
Machine learning approaches for detection of robot errors in human brain signals
Identification of the Students Learning Process During Education Robotics Activities
Simulation-driven machine learning for robotics and automation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens
The learning process of accessibility instrument developers: Testing the tools in planning practice
Unmixing method for hyperspectral data based on sub-space method with learning process
Survey of machine learning techniques in spacecraft control design
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Reinforcement learning to adjust parametrized motor primitives to new situations
Adaptive guidance and integrated navigation with reinforcement meta-learning
Combining learning and structure for robotic manipulation
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Qualitätsparameter mobil erfasster Feinstaubsensordaten
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
DROPO: Sim-to-real transfer with offline domain randomization
GIS-based ensemble soft computing models for landslide susceptibility mapping
Einsatzindividuelles, intelligentes Energiemanagement im hybriden Nutzfahrzeug
Automatisierte Trennung und Zuordnung von Geräuschanteilen im Innenraum von Elektrofahrzeugen
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Reinforcement learning approach for train rescheduling on a single-track railway
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Electrophysiological correlates of reinforcement learning and credit assignment
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Deep Reinforcement Learning for Drone Delivery
Assessment of Pupils in Educational Robotics—Preliminary Results
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
Neuronale Netzwerke für transiente Vorgänge im Antriebsstrang
Assistenzsystem für einen teilautomatisierten Ladeprozess bei Forwardern