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A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes
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
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Reinforcement learning to adjust parametrized motor primitives to new situations
Combining learning and structure for robotic manipulation
Electrophysiological correlates of reinforcement learning and credit assignment
Qualitätsparameter mobil erfasster Feinstaubsensordaten
Einsatzindividuelles, intelligentes Energiemanagement im hybriden Nutzfahrzeug
DROPO: Sim-to-real transfer with offline domain randomization
Automatisierte Trennung und Zuordnung von Geräuschanteilen im Innenraum von Elektrofahrzeugen
Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Reinforcement Learning for Robotic Grasping and Manipulation: A Review
Big data machine learning for flight planning
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Deep Reinforcement Learning for Drone Delivery
Relational reinforcement learning for planning with exogenous effects
Neuronale Netzwerke für transiente Vorgänge im Antriebsstrang
Assistenzsystem für einen teilautomatisierten Ladeprozess bei Forwardern
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment
Regenerative braking and low vehicle noise of electric vehicles – implications for the driver
Incremental learning of skills in a task-parameterized Gaussian Mixture Model
Incremental learning of skills in a task-parameterized Gaussian mixture model
Beyond the tracked line of sight: gaze-driven user models
Opponent modelling in the game of tron using reinforcement learning